{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/at/lambda/"},"x-facet":{"type":"company","slug":"lambda","display":"Lambda","count":92},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3fc024ca-e7e"},"title":"Data Center Operations System Engineer (Plano, TX)","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>You will ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured. You will troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems. You will document and update data center layout and network topology in DCIM software. You will work with supply chain &amp; manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments. You will manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers. You will partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.</p>\n<p>You have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management. You are familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting. You have basic knowledge of cable optics and the different types of use. You have solid understanding of single and three phase power theories, PDU balancing and why it is important. You are familiar with multiple cable media types and their uses. You have knowledge of cold isle and hot isle containment. You have solid understanding of server hardware and boot process.</p>\n<p>Nice to have:</p>\n<ul>\n<li>3+ years experience with critical infrastructure systems supporting data centers</li>\n<li>Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures</li>\n<li>Experience with/or knowledge of DDP or SCM cluster storage systems</li>\n<li>3+ years working with and reporting from a ticketing systems like JIRA and Zendesk</li>\n<li>Advanced experience with Linux administration</li>\n<li>Experience with High Performance Compute GPU systems (air or water cooled), especially Nvidia NVL72</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/ea88daf6-6a0b-4189-a393-a6cc71eb647d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/ea88daf6-6a0b-4189-a393-a6cc71eb647d","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$109K - $145K","x-skills-required":["critical infrastructure systems","power distribution","air flow management","environmental monitoring","capacity planning","DCIM software","structured cabling","cable management","carrier DIA circuit test","fiber testing","troubleshooting","cable optics","single and three phase power theories","PDU balancing","server hardware","boot process"],"x-skills-preferred":["network topology","configurations","400gb Infiniband architectures","DDP or SCM cluster storage systems","Linux administration","High Performance Compute GPU systems","Nvidia NVL72"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-23T20:26:08.655Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas, Texas"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"critical infrastructure systems, power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, cable management, carrier DIA circuit test, fiber testing, troubleshooting, cable optics, single and three phase power theories, PDU balancing, server hardware, boot process, network topology, configurations, 400gb Infiniband architectures, DDP or SCM cluster storage systems, Linux administration, High Performance Compute GPU systems, Nvidia NVL72","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":109000,"maxValue":145000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_97cd5819-c31"},"title":"Data Center Operations System Engineer (Plano, TX)","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our Plano, TX Data Center 5 days; shift work</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured</li>\n<li>Troubleshoot hardware and software issues in some of the world’s most advanced systems</li>\n<li>Document data center layout and network topology in DCIM software</li>\n<li>Work with supply chain &amp; manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments</li>\n<li>Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers</li>\n<li>Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved</li>\n<li>Work with RMA team to ensure faulty parts are returned and replacements are ordered</li>\n<li>Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Are familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management</li>\n<li>Are someone who pays attention to detail and has the ability to follow instructions</li>\n<li>Are action-oriented and have a strong willingness to learn</li>\n<li>Are willing to travel for bring up of new data center locations</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with troubleshooting server hardware</li>\n<li>Experience with/or knowledge of network topology</li>\n<li>Familiarity with ticketing systems like JIRA and Zendesk</li>\n<li>Experience with Linux administration</li>\n<li>Experience with working in large-scale distributed data center environments</li>\n<li>Experience with Supermicro &amp; Nvidia hardware</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/a467c9e6-fa5f-45eb-af15-355247650efc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/a467c9e6-fa5f-45eb-af15-355247650efc","x-work-arrangement":"onsite","x-experience-level":null,"x-job-type":"full-time","x-salary-range":"$89K - $119K","x-skills-required":["critical infrastructure systems","data centers","DCIM software","structured cabling","cable management","power distribution","air flow management","environmental monitoring","capacity planning"],"x-skills-preferred":["troubleshooting server hardware","network topology","JIRA","Zendesk","Linux administration","large-scale distributed data center environments","Supermicro","Nvidia hardware"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-23T19:06:18.521Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas, Texas"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"critical infrastructure systems, data centers, DCIM software, structured cabling, cable management, power distribution, air flow management, environmental monitoring, capacity planning, troubleshooting server hardware, network topology, JIRA, Zendesk, Linux administration, large-scale distributed data center environments, Supermicro, Nvidia hardware","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":89000,"maxValue":119000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b8312eb8-a7e"},"title":"Senior Software Development Engineer","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Design, build, and operate the software that automates Lambda&#39;s network lifecycle, from data center build-out and device provisioning through day-2 operations</li>\n<li>Build provisioning and zero-touch deployment systems that take network devices for new GPU clusters from racked to production-ready with minimal manual work</li>\n<li>Develop pipelines that generate, validate, and deploy network configuration as code, with automated testing, staged rollouts, and safe rollback</li>\n<li>Build capacity planning tools that combine inventory, topology, and utilization data to forecast port, bandwidth, optics, and IP address needs as Lambda&#39;s footprint grows</li>\n<li>Keep intended and live network state in sync by integrating automation with Lambda&#39;s source-of-truth, inventory, and IPAM systems</li>\n<li>Create APIs, services, and CLIs that network engineers and other internal teams use to request, change, and audit network resources</li>\n<li>Instrument the systems you own with metrics, logging, and alerting, and use that data to improve their reliability and speed</li>\n<li>Partner with Network Engineering, Data Center Operations, and platform teams to turn manual runbooks into reliable, self-service automation</li>\n<li>Participate in the on-call rotation for the automation systems and tooling your team owns</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 6+ years of professional software engineering experience building and operating production systems</li>\n<li>Write production-quality code, with deep expertise in multiple languages</li>\n<li>Have built automation or infrastructure tooling used by other engineers, such as provisioning systems, deployment pipelines, workflow engines, or internal APIs</li>\n<li>Have a solid grasp of distributed systems design, including API design, data modeling, idempotency, and handling partial failures</li>\n<li>Follow strong engineering practices: code review, automated testing, CI/CD, and git-based workflows</li>\n<li>Are comfortable on the Linux command line and understand core networking concepts such as TCP/IP, DNS, DHCP, VLANs, and IP routing</li>\n<li>Have led technical projects end to end, from design doc through production rollout, and mentored other engineers along the way</li>\n<li>Communicate clearly with software engineers, network engineers, and operations teams, and can turn operational pain points into software requirements</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience in the networking domain, such as designing or operating data center networks (Clos/spine-leaf fabrics, BGP, EVPN/VXLAN, ECMP)</li>\n<li>Experience automating network devices from vendors such as Arista, Juniper, Cisco, or NVIDIA (Cumulus/SONiC) through their APIs, NETCONF/gNMI, or Jinja templating</li>\n<li>Familiarity with network automation tools and libraries such as Ansible, Nornir, Netmiko, NAPALM, or Terraform</li>\n<li>Experience building on network source-of-truth, DCIM, or IPAM systems</li>\n<li>Experience building capacity planning or forecasting tools, or working with large volumes of time-series telemetry</li>\n<li>Familiarity with HPC/AI networking, such as InfiniBand or RoCEv2, at GPU cluster scale</li>\n<li>Experience running services on Kubernetes</li>\n<li>Understanding of data center power, space, and cooling constraints and how they shape build-out plans</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/f7b9f214-b395-4fd3-8fc7-934da0106064","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/f7b9f214-b395-4fd3-8fc7-934da0106064","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$284K - $378K","x-skills-required":["Python","Linux","TCP/IP","DNS","DHCP","VLANs","IP routing","distributed systems","API design","data modeling"],"x-skills-preferred":["Ansible","Nornir","Netmiko","NAPALM","Terraform","Kubernetes","InfiniBand","RoCEv2"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-22T23:07:20.307Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Linux, TCP/IP, DNS, DHCP, VLANs, IP routing, distributed systems, API design, data modeling, Ansible, Nornir, Netmiko, NAPALM, Terraform, Kubernetes, InfiniBand, RoCEv2","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":284000,"maxValue":378000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d224ce5b-be1"},"title":"Senior Manager, Contracts, Commercial & Supply Chain Compliance","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Set Lambda&#39;s contracting and supply chain standards , SOPs, playbooks, approval matrix, delegation of authority, master supply, general contractor, and design agreement templates, clause library, and commercial negotiation frameworks</li>\n<li>Lead master agreements and their commercial terms , pricing structures, payment terms, capacity reservations, warranties, liquidated damages, and performance security , in alignment with category managers, who own the sourcing strategy and supplier relationships</li>\n<li>Lead negotiation of terms and conditions , liability caps, indemnities, insurance, change, suspension, and termination , and assess and allocate commercial risk on every agreement</li>\n<li>Serve as the direct liaison to Legal and outside counsel , framing issues, coordinating reviews, and driving agreements to execution</li>\n<li>Be the go-to expert for interpreting terms and conditions across Lambda&#39;s contract portfolio, advising Construction, Sourcing, Finance, and project teams on rights, obligations, and remedies</li>\n<li>Own claims, and disputes across construction and equipment contracts , evaluate entitlement and schedule and cost impact, negotiate resolution, and escalate with Legal and outside counsel when needed</li>\n<li>Own contract obligation tracking , milestones, notices, warranties, capacity commitments, LDs, and renewal dates , and keep contract data and records current</li>\n<li>Own supplier onboarding , vetting, sanctions and denied-party screening, insurance and certification requirements, tariffs, and import and export controls</li>\n<li>Keep the supply chain and contracts function audit-ready , documented controls, approval evidence, contract records, and compliance with internal policy and external requirements</li>\n<li>Set dashboard and reporting standards for contracts, spend, supplier, and compliance data, and deliver regular reporting to leadership</li>\n<li>Roll out procurement standards and training at every site so project and site teams follow consistent processes for purchasing, approvals, and contract use</li>\n<li>Secure approvals for deviations from Lambda&#39;s standards, and prepare clear negotiation summaries and recommendations for executives</li>\n<li>Continuously improve contracting and procurement efficiency through lessons learned, standardization, and contract lifecycle management and procurement tools</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 7+ years of contracts or commercial management on large capital projects, with deep experience in construction and equipment contracts</li>\n<li>Have datacenter or mission-critical experience, or extensive experience in oil and gas, energy, or other complex construction and equipment programs</li>\n<li>Hold a Bachelor&#39;s degree in Business, Construction Management, Engineering, Law, Quantity Surveying, Supply Chain, or a related field, or have equivalent experience</li>\n<li>Have personally negotiated master supply agreements with deep command of terms and conditions and their commercial impact</li>\n<li>Have owned claims, and disputes through resolution and tracked contract obligations through closeout</li>\n<li>Have built master agreement templates, clause libraries, SOPs, playbooks, or approval matrices that an organization adopted</li>\n<li>Have owned supply chain compliance , supplier onboarding, trade compliance, audit readiness, and procurement controls</li>\n<li>Have set reporting standards and built dashboards for contract, spend, or compliance data, and trained teams across multiple sites on procurement processes</li>\n<li>Have served as the primary business liaison to in-house Legal and outside counsel, and know where commercial ownership ends and legal review begins</li>\n<li>Communicate clearly in writing and in the room, and can explain commercial risk and trade-offs to executives</li>\n<li>Operate well in ambiguity, on compressed timelines, managing several high-value negotiations at once</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience at a hyperscaler, AI cloud, colocation provider, datacenter developer, or large EPC or general contractor</li>\n<li>Paralegal experience, a JD, or a construction law background</li>\n<li>Experience implementing contract lifecycle management (CLM) or procurement systems</li>\n<li>Experience with SOX or internal audit controls, or trade compliance certification (e.g., CCS)</li>\n<li>Experience standing up a contracts or commercial function in a high-growth company</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/a7c76884-b814-4027-b2f3-df86f6341ccf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/a7c76884-b814-4027-b2f3-df86f6341ccf","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$178K - $264K","x-skills-required":["contracts management","commercial management","construction contracts","equipment contracts","supply chain compliance","procurement","contract negotiation","risk assessment"],"x-skills-preferred":["hyperscaler","AI cloud","colocation provider","datacenter developer","EPC","general contractor","paralegal","JD","construction law","CLM","procurement systems","SOX","internal audit controls","trade compliance certification"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-22T22:36:49.888Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"contracts management, commercial management, construction contracts, equipment contracts, supply chain compliance, procurement, contract negotiation, risk assessment, hyperscaler, AI cloud, colocation provider, datacenter developer, EPC, general contractor, paralegal, JD, construction law, CLM, procurement systems, SOX, internal audit controls, trade compliance certification","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":178000,"maxValue":264000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1b5f2ba1-20e"},"title":"Director, Data Center Contracts & Commercial Strategy","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the contracting and commercial strategy for how Lambda secures data center capacity , from leased and colocation sites today to owned, greenfield builds as the portfolio grows.</li>\n<li>Serve as Lambda&#39;s lead negotiator on the highest-value capacity agreements , leases, colocation and service agreements, master agreements, design, equipment, and construction contracts , setting negotiation strategy and partnering with Legal and Finance on terms.</li>\n<li>Lead lease and colocation negotiations with landlords, providers, and developers from LOI through definitive agreements and service orders , balancing rent, power pricing, delivery dates, expansion rights, and performance obligations.</li>\n<li>Manage the existing lease portfolio , renewals, expansions, amendments, restructurings, exits, and landlord performance , and keep obligations, milestones, and critical dates current.</li>\n<li>Protect delivery schedules through ready-for-service dates, delay credits, step-in rights, milestones, and SLAs, and hold landlords, suppliers, and contractors accountable for performance.</li>\n<li>Build the contracting strategy for owned capacity , design firms and Engineers of Record, long-lead equipment (owner- vs. contractor-furnished), and GC, EPC, or EPCM delivery models and cost types (lump sum, GMP, cost-plus).</li>\n<li>Run competitive bids and RFPs, evaluate proposals, and recommend awards across leases, equipment, and construction.</li>\n<li>Negotiate and execute master agreements with key providers, OEMs, design firms, and contractors that secure capacity and favorable terms across sites.</li>\n<li>Drive change order, claims, and dispute discipline alongside Construction, Legal, and Finance.</li>\n<li>Set standards for contract execution , term sheets, negotiation guardrails, templates, contract abstraction, approval workflows, and governance , that build the foundation for scale.</li>\n<li>Partner across Data Center Development, Construction, Design, Capacity Planning, Finance, Legal, and Operations, and deliver executive-level briefings on deal strategy, risks, and contingency plans.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 10+ years of experience in data center or complex infrastructure contracting, commercial real estate or capacity leasing, strategic sourcing, or procurement.</li>\n<li>Hold a Bachelor&#39;s degree in Business, Finance, Real Estate, Supply Chain Management, Engineering, or a related field, or have equivalent experience.</li>\n<li>Are recognized as a lead negotiator , you have personally closed large, complex agreements (typically $100M+), not directed someone else to.</li>\n<li>Have negotiated data center leases or colocation agreements and understand how landlords and providers price, structure, and deliver capacity and/or have negotiated construction, design, or equipment contracts and understand delivery models (GC, EPC, EPCM, design-build) and cost types (lump sum, GMP, cost-plus).</li>\n<li>Understand the data center lifecycle , land, power and utility, design, equipment, construction, commissioning , and how each affects deliverability.</li>\n<li>Have managed contracts after signature , renewals, amendments, change orders, claims, and closeout.</li>\n<li>Have set process, policy, or governance standards that an organization adopted.</li>\n<li>Brief and persuade executives comfortably and build the business case that earns the decision.</li>\n<li>Operate well in ambiguity, on compressed timelines, managing parallel deals in a supply-constrained market.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience securing capacity for hyperscalers, AI clouds, or large GPU/HPC deployments.</li>\n<li>Experience on the landlord, developer, colocation provider, or contractor side.</li>\n<li>Experience with complex construction programs such as semiconductor, oil and gas, or energy.</li>\n<li>Experience standing up a contracts or sourcing function where little existed.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation.</li>\n<li>Health, dental, and vision coverage for you and your dependents.</li>\n<li>Wellness and commuter stipends for select roles.</li>\n<li>401k Plan with 2% company match (USA employees).</li>\n<li>Flexible paid time off plan.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/91389f25-49c6-41e7-bcfc-747d4f5a25e9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/91389f25-49c6-41e7-bcfc-747d4f5a25e9","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$227K - $336K","x-skills-required":["data center contracting","commercial real estate","strategic sourcing","procurement","negotiation","contract management"],"x-skills-preferred":["experience securing capacity for hyperscalers","AI clouds","large GPU/HPC deployments","complex construction programs"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-23T18:04:19.548Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"data center contracting, commercial real estate, strategic sourcing, procurement, negotiation, contract management, experience securing capacity for hyperscalers, AI clouds, large GPU/HPC deployments, complex construction programs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":227000,"maxValue":336000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_addb6f85-9fd"},"title":"Workplace Coordinator","description":"<p>We are seeking a Workplace Coordinator to join our team in San Jose, California. As a Workplace Coordinator, you will be the first point of contact for employees, visitors, and customers in our San Jose offices. Your responsibilities will include:</p>\n<ul>\n<li>Managing office operations and administrative tasks</li>\n<li>Providing exceptional customer service to employees, guests, and visitors</li>\n<li>Maintaining conference rooms, kitchen supplies, and office equipment</li>\n<li>Assisting with workplace safety and security</li>\n<li>Processing mail and shipping requests</li>\n<li>Collaborating with internal stakeholders to ensure seamless operations</li>\n<li>Managing vendor relationships and ordering supplies</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Minimum 2 years of administrative experience</li>\n<li>Experience working in a fast-paced environment</li>\n<li>Experience managing an office space</li>\n<li>Proficient in Google Suite, MS Suite, and Slack</li>\n<li>Excellent communication and problem-solving skills</li>\n</ul>\n<p>We offer:</p>\n<ul>\n<li>Competitive hourly rate</li>\n<li>Generous cash and equity compensation</li>\n<li>Health, dental, and vision coverage</li>\n<li>Wellness and commuter stipends</li>\n<li>401k Plan with 2% company match</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/1f0e7c0a-9d48-4875-91d0-afeb9bdfb9d0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/1f0e7c0a-9d48-4875-91d0-afeb9bdfb9d0","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"hourly rate higher or lower than market data","x-skills-required":["Google Suite","MS Suite","Slack","administrative experience","office management"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-20T17:21:04.196Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"Google Suite, MS Suite, Slack, administrative experience, office management"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5f7b86df-d82"},"title":"Senior Analyst - Investor Relations","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda&#39;s designated work from home day is currently Tuesday.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a Senior Analyst, Investor Relations to provide the research, financial analysis, preparation, and operational backbone of the Investor Relations team. This person will be closely involved in a key company function, working directly with senior leadership and playing a meaningful part in laying the foundation for a strong investor relations program as Lambda grows. It is an ideal role for someone eager to build deep expertise in investor relations, finance, and capital markets.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Investor Communications &amp; Earnings Support</strong></p>\n<ul>\n<li>Own and maintain the company materials used in investor conversations and capital raises, including investor presentations, company overviews, fact sheets, data room materials, and key metrics, keeping them accurate, current, and consistent.</li>\n<li>Provide research, analytical, and administrative support in the preparation of quarterly earnings materials, including presentation decks, executive briefing documents, Q&amp;A materials, and earnings call support materials.</li>\n<li>Assist in the collection, organization, and review of information used in earnings releases, investor presentations, earnings call materials, and other investor communications.</li>\n</ul>\n<p><strong>Market Intelligence &amp; Research</strong></p>\n<ul>\n<li>Monitor industry trends, competitors, capital markets activity, and broader market developments, and summarize key insights for the Investor Relations team and executive leadership.</li>\n<li>Support peer company, market, and competitive analysis through research, data collection, and preparation of recurring reports and summaries.</li>\n<li>Compile and summarize analyst commentary, investor feedback, and key themes emerging from investor meetings, conferences, and industry events.</li>\n<li>Perform ad hoc research projects on company performance, industry developments, competitors, and capital markets topics.</li>\n</ul>\n<p><strong>Executive &amp; Investor Support</strong></p>\n<ul>\n<li>Prepare briefing materials, background research, meeting agendas, and summaries for executive meetings with investors, analysts, lenders, and other external stakeholders.</li>\n<li>Prepare recurring reports and dashboards covering investor activity, market intelligence, peer developments, and other investor relations metrics.</li>\n<li>Track investor interactions, maintain records of meetings and follow-up items, and help ensure timely execution of investor-related requests and commitments.</li>\n</ul>\n<p><strong>Investor Operations</strong></p>\n<ul>\n<li>Maintain investor relations databases, contact lists, and other records supporting investor engagement activities.</li>\n<li>Support the planning and execution of investor meetings, conferences, earnings events, and other investor-facing activities.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 2+ years of professional experience in a business, finance, communications, operations, executive support, investor relations, or other analytical environment.</li>\n<li>Are highly organized and able to manage multiple projects, deadlines, and stakeholder requests simultaneously.</li>\n<li>Demonstrate strong analytical and problem-solving skills, with the ability to gather, organize, and synthesize information from a variety of sources.</li>\n<li>Understand core financial concepts and can read, summarize, and evaluate financial statements.</li>\n<li>Possess excellent written and verbal communication skills with strong attention to detail.</li>\n<li>Enjoy conducting research, preparing presentations, and creating materials for executive audiences.</li>\n<li>Are comfortable working with senior leaders and maintaining professionalism when interacting with external stakeholders.</li>\n<li>Have strong judgment, discretion, and the ability to handle confidential information.</li>\n<li>Are proficient in Excel, Google Sheets, PowerPoint, Google Slides, and other business productivity tools, and go beyond basic use of AI tools to build skills, workflows, and processes in AI that streamline how the team operates.</li>\n<li>Thrive in fast-paced, evolving environments and are willing to take on both analytical and operational responsibilities as needed.</li>\n<li>Are curious, proactive, and eager to learn about investor relations, capital markets, and the AI industry.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/ee4920c8-7454-4163-ac9d-88f547ceb53c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/ee4920c8-7454-4163-ac9d-88f547ceb53c","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$109K - $145K","x-skills-required":["Excel","Google Sheets","PowerPoint","Google Slides","analytical skills","problem-solving skills","communication skills"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-16T14:31:32.968Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Excel, Google Sheets, PowerPoint, Google Slides, analytical skills, problem-solving skills, communication skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":109000,"maxValue":145000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f916f28b-aaf"},"title":"Lead / Staff Full-Stack Software Engineer - Console Experience","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p><strong>Note:</strong> This position requires presence in our San Francisco office four days per week. Lambda’s designated work-from-home day is currently Tuesday.</p>\n<p><strong>About the Role</strong></p>\n<p>Lambda’s Cloud Console is where customers discover, provision, and manage the infrastructure behind their AI workloads. Through the console, customers manage GPUs and clusters, configure networking and identity, monitor usage and billing, and navigate increasingly sophisticated enterprise workflows.</p>\n<p>We are looking for a Lead or Staff Full-Stack Software Engineer to help define and build the next generation of this experience. You will own complex, customer-facing initiatives across the frontend, API, and service layers while helping the team establish scalable architecture and strong engineering practices.</p>\n<p>This is a high-impact individual-contributor role for an engineer who combines product judgment with technical depth. You will work closely with Product and Design, partner with teams across the cloud platform, and turn complex infrastructure capabilities into UI and workflows that feel clear, reliable, and cohesive.</p>\n<p>We are open to hiring at the Lead or Staff level. Level and scope will be determined by a candidate’s experience and demonstrated impact.</p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n<li>Design, build, and operate end-to-end product experiences across our React and TypeScript frontend, APIs, and supporting backend services</li>\n<li>Own major console initiatives from early discovery and technical design through implementation, rollout, measurement, and iteration</li>\n<li>Translate complex cloud concepts,including compute lifecycle, networking, identity, governance, support, usage, and billing,into intuitive customer workflows</li>\n<li>Partner closely with Product and Design to clarify requirements, explore tradeoffs, and shape solutions that balance customer value with technical sustainability</li>\n<li>Collaborate with our API Experience, Billing, Platform and Support teams to deliver cohesive features spanning multiple systems</li>\n<li>Establish architectural patterns that improve frontend performance, reliability, accessibility, observability, and developer velocity</li>\n<li>Raise the engineering bar through thoughtful design reviews, code reviews, documentation, testing, and operational ownership</li>\n<li>Identify recurring friction in the product and codebase, then lead durable improvements rather than isolated fixes</li>\n<li>Mentor engineers and help teammates develop stronger product, architecture, and execution skills</li>\n<li>Contribute to roadmap planning and technical strategy for the Console Experience team</li>\n</ul>\n<p><strong>SCOPE BY LEVEL</strong></p>\n<p>At the Lead Engineer level, you will typically:</p>\n<ul>\n<li>Own the technical delivery of significant, ambiguous product areas</li>\n<li>Coordinate execution across several engineers and partner teams</li>\n<li>Make architectural decisions within the Console Experience domain</li>\n<li>Improve team practices and mentor engineers through hands-on technical leadership</li>\n</ul>\n<p>At the Staff Engineer level, you will additionally:</p>\n<ul>\n<li>Set technical direction across multiple product areas or teams</li>\n<li>Lead multi-quarter initiatives with broad architectural and organizational impact</li>\n<li>Align teams around shared interfaces, patterns, and long-term platform investments</li>\n<li>Anticipate systemic risks and opportunities, influencing roadmaps beyond the immediate team</li>\n<li>Serve as a trusted technical partner to engineering, product, and design leadership</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have extensive experience building and operating production web applications across the frontend and backend</li>\n<li>Have led the design and delivery of substantial customer-facing systems in a fast-moving environment</li>\n<li>Are highly proficient with modern frontend development, including React and TypeScript</li>\n<li>Can design and reason about APIs, service boundaries, data models, asynchronous workflows, and distributed-system failure modes</li>\n<li>Have strong product judgment and care deeply about usability, especially when presenting complex technical systems</li>\n<li>Can bring structure and momentum to ambiguous problems without waiting for every requirement to be defined</li>\n<li>Communicate technical decisions clearly through design documents, diagrams, reviews, and direct collaboration</li>\n<li>Build alignment across teams without relying on organizational authority</li>\n<li>Balance short-term delivery with reliability, maintainability, and long-term architectural health</li>\n<li>Take ownership of production outcomes, including testing, observability, incident response, and continuous improvement</li>\n<li>Invest in the growth and effectiveness of the engineers around you</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience building a cloud console, infrastructure product, or enterprise SaaS application</li>\n<li>Familiarity with GPU infrastructure, Kubernetes, networking, identity and access management, or cloud control planes</li>\n<li>Experience evolving a frontend architecture or design system across multiple teams</li>\n</ul>\n<p><strong>What Success Looks Like</strong></p>\n<p>Within your first year, you will have:</p>\n<ul>\n<li>Delivered meaningful improvements to core customer workflows in Lambda’s cloud console</li>\n<li>Established clear technical ownership of one or more important product areas</li>\n<li>Improved the architecture, quality, and operating practices of the systems you touched</li>\n<li>Helped partner teams deliver more consistent end-to-end customer experiences</li>\n<li>Raised the effectiveness of the Console Experience team through technical leadership, mentoring, and sound judgment</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/2c8671ce-a9d3-453a-9753-5dc6d65c0b92","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/2c8671ce-a9d3-453a-9753-5dc6d65c0b92","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$349K - $465K","x-skills-required":["React","TypeScript","API design","cloud computing","frontend development","backend services"],"x-skills-preferred":["GPU infrastructure","Kubernetes","networking","identity and access management","cloud control 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Console","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>The console is where every service Lambda sells meets the human user at the customer. It is the place where disparate products can come together to create a unified experience that solves a customer problem. Conversely, it is also the place where a cloud most easily becomes hard to use, because each service is built by a different team at a different time, and every one of them arrives with its own idea of what a resource is called, where it lives, who is allowed to touch it, and what a customer should do next.</p>\n<p>The customer does not experience a portfolio of services. They experience one product, and they judge us on whether it holds together. This role owns that product. You own the console as a single surface, with one navigation model, one identity and permissions story, one set of interaction patterns, and one vocabulary, across On-Demand GPU Instances, reserved capacity, 1-Click Clusters, bare metal, storage, networking, Managed Kubernetes, billing, and support.</p>\n<p>Every service team ships into that surface, and the standards are yours to set. Your job is to make the whole thing feel like it was designed on purpose, which means writing the standards down, reviewing the work against them, and being the person who says no when a service wants to solve a problem in a way that only makes sense from inside that team.</p>\n<p>Three very different people have to succeed here. A machine learning researcher wants a graphics processing unit (GPU) in minutes and should never have to learn cloud vocabulary to get one. An infrastructure engineer runs large clusters, lives in the application programming interface (API) and the command line, and needs the console to agree exactly with both. A platform engineer is building their own service on top of Lambda for their own users, and needs the console to make clear what their teams can see, spend, and change.</p>\n<p>The hard part of the role is that these three pull in different directions, and the surface cannot be quietly bent toward whichever one showed up in the last customer meeting.</p>\n<p>Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn&#39;t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn&#39;t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate.</p>\n<p>We hire product managers who learn new domains fast and reason rigorously from evidence. Deep experience owning a customer-facing console for a cloud or developer platform is highly desired.</p>\n<p>At Lambda, we don&#39;t work in silos, we work together, each bringing our particular crafts, to build the best customer experience as one team. This role is where that commitment is tested most often.</p>\n<p>Be clear-eyed about the starting point. Several of the standards this role depends on do not exist yet, so the first year includes writing them and building the design and front-end engineering partnership that keeps them alive. This is a role for someone who wants to establish the function, not inherit it.</p>\n<p>If you have held a cloud console together across a growing portfolio and want to do it while the portfolio is still being built, we&#39;d love to hear from you.</p>\n<p>We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the Whole Surface: Hold the product definition for the console as one product, decide what belongs in it and what does not, rank and sequence the work, and be honest about what Lambda is not doing this year and why.</li>\n<li>Set the Patterns and Hold Them: Define the navigation, identity, permissions presentation, resource naming, states, errors, and empty screens that every service uses, write them down clearly enough that a team can build to them without asking you, then establish and run the review that console work passes before it ships.</li>\n<li>Keep the Console Honest With the API: Make sure the console, the API, the command line, and infrastructure as code describe the same resources with the same names and the same rules, and treat a console-only capability as a problem to be fixed rather than a feature.</li>\n<li>Fix the First Hour, Then Serve the Expert: Own what happens between signing up and running a first workload, instrument it well enough to know exactly where people stop, and keep the paths that operators and platform teams live in, like bulk actions, filtering, deep links, quotas, spend visibility, and access control, first class rather than an afterthought behind a wizard.</li>\n<li>Find the Real Problem: Get close to customers, support tickets, escalations, and session data, and work out what is actually blocking people rather than what they asked for.</li>\n<li>Write the Definition: Produce requirements, user stories, and acceptance criteria precise enough that engineering and design build from them without a translation layer.</li>\n<li>Work as a Group: Partner with the product managers who own each service so their launches land inside your surface as one product, and agree the seams early rather than at launch review.</li>\n<li>Land the Launch: Set launch criteria that include documentation, in-product guidance, support readiness, and accessibility, and get them met before the surface goes live rather than after.</li>\n<li>Measure and Iterate: Define success before you ship, then go find out whether it happened, using completion rates, time to first result, and support load rather than opinion.</li>\n<li>Make the Call Stick: Take a position on contested tradeoffs, write it down well enough that people can disagree with it precisely, and keep owning the decision after it is made.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 10+ years of product management experience, including owning a customer-facing console, dashboard, or developer surface for a cloud, infrastructure, or developer platform.</li>\n<li>Have shipped interaction patterns, a design system, or a surface standard that teams you did not manage adopted and kept using after you stopped pushing, and can describe how you actually got them to.</li>\n<li>Have taken a set of separately built product surfaces and made them behave like one product, and can say what you consolidated, what you left alone, and why.</li>\n<li>Understand cloud infrastructure well enough to reason with engineers about identity, permissions, quotas, regions, capacity, telemetry, and billing, and about what should and should not be exposed to a customer.</li>\n<li>Understand access control models for organizations, teams, projects, roles, and API keys well enough to design how they are presented, because this is where a console either works for a platform team or does not.</li>\n<li>Able to define iterative plans that move an organization from the current state towards the desired outcome.</li>\n<li>Have made one product serve both a first-time user and a daily operator without turning it into two products.</li>\n<li>Have used research and instrumentation to settle a disagreement about a user experience, and are comfortable being the person who brings evidence to a room full of strong opinions.</li>\n<li>Can turn ambiguous customer, technical, and commercial inputs into product definition that multiple teams execute against.</li>\n<li>Communicate plainly, write well, say no clearly, and make decisions easier for people who do not all share the same context.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with machine learning or data platform surfaces, like notebooks, training jobs, model endpoints, or experiment tracking.</li>\n<li>Experience with the self-serve funnel from signup to first paid usage, including conversion and activation work.</li>\n<li>Experience partnering closely with a front-end platform team on a component library, design tokens, or a shared application shell.</li>\n<li>Experience owning documentation or in-product guidance as part of the product rather than as a handoff.</li>\n<li>Experience with accessibility standards and with making an infrastructure product usable under them.</li>\n<li>Experience with a console that had to serve both a human and an automated caller, and opinions about what that costs.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/f990e8d8-98af-4f72-a573-0f652ee556ea","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.com","logo":"https://logos.yubhub.co/lambda.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/f990e8d8-98af-4f72-a573-0f652ee556ea","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$338K - $500K","x-skills-required":["cloud infrastructure","product management","design systems","interaction patterns","access control models","iterative planning","research and instrumentation","communication","writing"],"x-skills-preferred":["machine learning","data platform surfaces","self-serve funnel","front-end platform team","documentation","accessibility standards"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-16T02:57:46.693Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"cloud infrastructure, product management, design systems, interaction patterns, access control models, iterative planning, research and instrumentation, communication, writing, machine learning, data platform surfaces, self-serve funnel, front-end platform team, documentation, accessibility standards","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":338000,"maxValue":500000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ba501455-3d2"},"title":"Senior Technical Program Manager - Data Center Infrastructure Delivery","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>Lambda is seeking a Technical Program Manager (TPM) to own the integrated delivery program for new data center builds, from the handoff of a selected site by Real Estate through construction, commissioning, operational readiness, and turnover to Network Deployment.</p>\n<p><strong>Role Overview</strong> You will be the single source of truth for milestones, risks, and dependencies on your sites, leading internal teams and external partners (GCs, design firms, utilities, and vendors) across site work, utilities, shell, MEP, controls, white space, inspections, and commissioning. Ambiguity is high, timelines are compressed, and the stakes are central to company growth.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the integrated schedule from site handoff to Operations; break builds into workstreams with clear owners and milestones, and actively manage the critical path and schedule compression.</li>\n<li>Drive the delivery sequence from rack requirements to engineering criteria, design, plan set, permitting, construction, commissioning, and turnover for MW-scale, high-density (including liquid-cooled) capacity.</li>\n<li>Lead cross-functional execution with Real Estate, Energy and Utilities, Engineering, Procurement, Construction Management, Commissioning, Operations, Security, Finance, and Legal.</li>\n<li>Manage risk and governance: maintain risk registers, dependency logs, decision trackers, and schedule variance reports; surface permitting, utility, design, procurement, sequencing, and commissioning risks early.</li>\n<li>Escalate with facts: status, baseline vs. forecast date, variance, impact, owner, mitigation options, and decision date. Lead schedule recovery when milestones slip.</li>\n<li>Hold partners accountable to contractual milestones, production and shipping schedules, and commercial commitments while maintaining productive relationships.</li>\n<li>Communicate to leadership through program reviews and concise, high-signal status updates.</li>\n<li>Deliver clean turnover: define handover criteria and ensure white space, power, cooling, controls, cable pathways, access, and documentation are ready for Network Deployment.</li>\n<li>Scale the function: build repeatable playbooks, dashboards, and lessons-learned loops across concurrent deployments.</li>\n<li>Travel (~40%) to sites to validate progress and build partner relationships.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 7+ years in data center delivery, infrastructure or construction program management, mission-critical facilities, or large capital projects.</li>\n<li>Have delivered ground-up data centers or comparable mission-critical, industrial, semiconductor, or energy facilities, ideally multi-site on compressed timelines.</li>\n<li>Know the full lifecycle: site handoff, permitting, design, utilities, procurement, construction, MEP, controls, commissioning, and turnover.</li>\n<li>Run integrated schedules, critical path, dependency logs, and change control with rigor.</li>\n<li>Understand technical tradeoffs well enough to spot risks, ask precise questions, and escalate without owning design authority.</li>\n<li>Align partners, vendors, and engineering teams around shared deliverables, and bridge physical infrastructure with network and security teams.</li>\n<li>Make sound decisions with incomplete information under schedule pressure, and communicate status clearly to executives.</li>\n<li>Strong written and verbal communication skills.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Hyperscale, AI/GPU, cloud region, or high-density compute delivery experience.</li>\n<li>Utility interconnection, substation, MV/HV power, and liquid cooling experience.</li>\n<li>Work with colocation providers, GCs, EPCs, commissioning agents, and permitting authorities.</li>\n<li>PMP, construction management, engineering, or project controls certification.</li>\n</ul>\n<p><strong>Success Measures</strong></p>\n<ul>\n<li>Sites reach infrastructure turnover on the committed timeline.</li>\n<li>Milestones across engineering, construction, commissioning, operations, procurement, and utilities are visible and accurate.</li>\n<li>Critical path risks are escalated early with a clear owner, impact, and mitigation options.</li>\n<li>Handoff to Operations meets defined readiness criteria, with no major gaps.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/9a8b0df2-63e0-4641-9503-59f56fbe195e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/9a8b0df2-63e0-4641-9503-59f56fbe195e","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$214K - $284K","x-skills-required":["data center delivery","infrastructure program management","construction management","mission-critical facilities","large capital projects"],"x-skills-preferred":["hyperscale","AI/GPU","cloud region","high-density compute delivery","utility interconnection","substation","MV/HV power","liquid cooling"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-13T19:01:31.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, USA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data center delivery, infrastructure program management, construction management, mission-critical facilities, large capital projects, hyperscale, AI/GPU, cloud region, high-density compute delivery, utility interconnection, substation, MV/HV power, liquid cooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":214000,"maxValue":284000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_794acdaf-6c8"},"title":"Engineering Manager, Core Cloud Platform","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>The Role Lambda’s Core Cloud Platform organization builds the software and services that turn large-scale GPU infrastructure into reliable, customer-facing cloud products. The team owns foundational platform capabilities across Managed Kubernetes, resource lifecycle, workload orchestration, cloud APIs, automation, observability, and multi-region operations.</p>\n<p>As Engineering Manager, you will lead a team building and operating these foundational platform services. You will own the team’s people, execution, technical quality, and production outcomes while partnering with senior engineers to set technical direction.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead the design, implementation, and production operation of foundational cloud-platform services.</li>\n<li>Own the technical roadmap for making the platform more distributed, resilient, observable, and operationally efficient.</li>\n<li>Ensure the platform operates reliably across a growing multi-datacenter and multi-region fleet.</li>\n<li>Partner with senior and staff engineers to make sound architectural decisions.</li>\n<li>Define clear contracts and integration patterns between the cloud platform and the compute, networking, fleet, security, and customer-facing systems around it.</li>\n<li>Lead and grow a team of senior and staff engineers.</li>\n<li>Own project planning, prioritization, and delivery aligned with Lambda’s business objectives and customer commitments.</li>\n<li>Establish strong engineering practices across design reviews, testing, CI/CD, observability, incident response, and on-call operations.</li>\n<li>Collaborate with peer Engineering Managers and cross-functional partners to resolve dependencies and deliver complete customer outcomes.</li>\n<li>Improve engineering leverage through automation, effective operating mechanisms, and responsible use of AI-assisted engineering.</li>\n<li>Stay current with developments in Kubernetes, cloud-native infrastructure, GPU orchestration, and platform automation, and apply them where they materially improve Lambda’s platform.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>4+ years of engineering management experience with a demonstrated track record of growing high-performing teams</li>\n<li>7+ years of software engineering IC experience, including principal or staff-level ownership of mission-critical distributed systems</li>\n<li>8+ years implementing business-critical services in Python or Go, from conception through production</li>\n<li>Experience building systems that coordinate across multiple independently-owned infrastructure services</li>\n<li>Background in multi-region deployment strategies, cross-datacenter state management, and high-availability architectures</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Awareness of the evolving bare metal and GPU infrastructure ecosystem</li>\n<li>Experience evaluating or adopting vendor infrastructure tooling into an existing platform</li>\n<li>Familiarity with Kubernetes or Slurm</li>\n<li>Experience in the AI, ML, or GPU hardware industry</li>\n<li>Proven track record designing large-scale cloud IaaS platforms from the ground up</li>\n</ul>\n<p>Values:</p>\n<ul>\n<li>Hands-on when needed</li>\n<li>High accountability</li>\n<li>Business and customer alignment</li>\n<li>Sound judgment</li>\n<li>Systems builder</li>\n<li>Agency with context</li>\n<li>Low ego and strong collaboration</li>\n<li>Learning through failure</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/af2fb9b0-157d-4f79-a667-d30d0107387b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/af2fb9b0-157d-4f79-a667-d30d0107387b","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$297K - $440K","x-skills-required":["Kubernetes","cloud-native infrastructure","GPU orchestration","Python","Go","distributed systems","multi-region deployment strategies"],"x-skills-preferred":["bare metal infrastructure ecosystem","vendor infrastructure tooling","Slurm","AI","ML","GPU hardware industry"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-21T15:14:24.811Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, cloud-native infrastructure, GPU orchestration, Python, Go, distributed systems, multi-region deployment strategies, bare metal infrastructure ecosystem, vendor infrastructure tooling, Slurm, AI, ML, GPU hardware industry","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":297000,"maxValue":440000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_87ff1d47-dc2"},"title":"Senior Software Enginering - Mk8S/Control Plane","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>We are seeking a Senior Software Engineer to join our Managed Kubernetes (Mk8s) team. You will play a crucial role in shaping the architecture, reliability, and automation of our Kubernetes-based infrastructure, which powers mission-critical workloads across our global platform.</p>\n<p>As a Senior Engineer on our Orchestration team, you will contribute to Lambda&#39;s managed orchestration services, including Managed Kubernetes, Managed Slurm on Kubernetes, and higher-level platform services for inference and AIOps. You&#39;ll work at the intersection of distributed systems, GPU-accelerated computing, and Cloud Native infrastructure to build systems that are reliable, performant, and elegantly simple for our customers.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and maintain scalable control plane services, operators, and custom Kubernetes controllers</li>\n<li>Develop automation in Go/Python for end-to-end cluster lifecycle management , provisioning, upgrades, patching, and deletion</li>\n<li>Build GPU-aware orchestration systems, working within the platform architecture to support GPU scheduling and resource allocation</li>\n<li>Partner with the Network team on networking solutions for AI workloads: CNI integration (Cilium, Multus), high-performance fabrics (InfiniBand, RoCE), RDMA, and GPUDirect</li>\n<li>Write resilient systems that handle failure gracefully , timeouts, retries, backoff, and degraded-mode operation , across large-scale distributed environments</li>\n<li>Develop platform services for inference: model serving infrastructure, autoscaling based on inference load, and multi-model deployment patterns</li>\n<li>Build internal tools and CLIs that let ML/AI teams deploy and monitor their own inference services</li>\n<li>Support and debug production issues through on-call rotation</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>6+ years of experience in software engineering, with a track record of owning significant technical scope within a team</li>\n<li>Deep understanding of Kubernetes internals: controllers, schedulers, operators, CRDs, CSI, CNI, and the extension patterns that make Kubernetes powerful</li>\n<li>Solid grasp of distributed systems fundamentals , fault tolerance, graceful degradation, and failure handling in large-scale environments</li>\n<li>Experience operating the control plane and low-level pieces of large-scale Kubernetes clusters</li>\n<li>Experience with observability at scale: Prometheus, Grafana, distributed tracing, and building actionable alerting systems</li>\n<li>Strong programming skills in Go and Python; ability to collaborate effectively on shared codebases</li>\n<li>Solid knowledge of Linux systems, networking, containers, and cloud infrastructure</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience building and operating managed Kubernetes services (GKE, EKS, AKS, or similar) or working on Kubernetes control plane components</li>\n<li>Hands-on experience with NVIDIA&#39;s GPU/networking ecosystem: GPU Operator, device plugins, DCGM, MIG, Network Operator, NCCL tuning, or similar</li>\n<li>Familiarity with HPC and traditional job schedulers (Slurm) and Kubernetes-native batch scheduling (KAI, Volcano, Kueue)</li>\n<li>Familiarity with GPU, InfiniBand, RDMA, or high-performance computing on Kubernetes</li>\n<li>Exposure to storage architecture for AI/ML workloads</li>\n<li>Past contributions to CNCF projects or Kubernetes SIGs a plus</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/fcf25f23-bc18-4090-aadf-77c6c70bfa3e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/fcf25f23-bc18-4090-aadf-77c6c70bfa3e","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K - $346K","x-skills-required":["Kubernetes","Go","Python","distributed systems","GPU-accelerated computing","Cloud Native infrastructure"],"x-skills-preferred":["NVIDIA GPU/networking ecosystem","HPC","Slurm","Kubernetes-native batch scheduling","GPU","InfiniBand","RDMA","high-performance computing on Kubernetes"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-24T22:53:05.935Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Go, Python, distributed systems, GPU-accelerated computing, Cloud Native infrastructure, NVIDIA GPU/networking ecosystem, HPC, Slurm, Kubernetes-native batch scheduling, GPU, InfiniBand, RDMA, high-performance computing on Kubernetes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":346000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ffece1be-5ab"},"title":"Network Analyst","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>You will build your networking career by helping connect Lambda&#39;s AI compute to customers and carriers.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Help bring services online:</li>\n<li>Submit approved cross-connect orders after confirming circuit identifiers and endpoints with Network Engineering.</li>\n<li>Track carrier and facility requests through completion, follow up on installation dates and flag delays or mismatched details.</li>\n<li>Arrange approved disconnections after confirming the service and timing with its owner, and collect completion records.</li>\n<li>Log new requests in Jira, route them to the right owner and coordinate approved access to carrier and data center portals.</li>\n</ul>\n<ul>\n<li>Support engineering and testing:</li>\n<li>Help engineers prepare turn-up documents, gather test results and check service details before activation.</li>\n<li>Support circuit turn-up and testing under a senior engineer&#39;s direction, learning how to investigate discrepancies and document findings.</li>\n<li>Learn the team&#39;s tools and contribute scripts or workflow improvements that reduce repeat manual work.</li>\n</ul>\n<ul>\n<li>Keep service information reliable:</li>\n<li>Maintain circuit records, supplier contacts and project updates so engineers and delivery managers can find the information they need.</li>\n<li>Organize order confirmations, test evidence and support details for handover to Operations.</li>\n<li>Share completed service changes with Supply Chain for purchasing and billing updates, and raise discrepancies with the delivery manager.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Foundational networking knowledge from work, study, labs or personal projects, including how fiber and optics connect equipment.</li>\n<li>Examples of following a technical task through completion and checking that the result matches the request.</li>\n<li>Comfort organizing information in ticketing tools, spreadsheets or similar systems.</li>\n<li>Clear written communication and the judgment to ask for help before acting on an unclear request.</li>\n<li>Interest in learning physical network infrastructure and taking on more technical responsibility over time.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Networking coursework or a certification such as Cisco Certified Network Associate (CCNA).</li>\n<li>Exposure to data center work, carrier provisioning, technical support or network inventory tools such as NetBox.</li>\n<li>Some Python or other scripting experience, including coursework or personal projects.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/cea27d13-db06-4027-9007-a1a4cd820662","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/cea27d13-db06-4027-9007-a1a4cd820662","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$88K - $130K","x-skills-required":["networking","fiber optics","carrier services","Jira","scripting"],"x-skills-preferred":["Cisco Certified Network Associate (CCNA)","NetBox","Python"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-09T20:29:27.134Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"networking, fiber optics, carrier services, Jira, scripting, Cisco Certified Network Associate (CCNA), NetBox, Python","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":88000,"maxValue":130000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_73c36dbc-e53"},"title":"Data Center Operations System Engineer (Salt Lake City)","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our Salt Lake City Data Center 5 days; shift work</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Ensure all new server, storage, and network infrastructure is properly racked, labeled, cabled, and configured in accordance with organizational standards.</li>\n<li>Diagnose and resolve complex hardware and software issues across advanced enterprise systems.</li>\n<li>Maintain comprehensive documentation of data center layouts and network topologies within DCIM software.</li>\n<li>Collaborate with supply chain and manufacturing teams to facilitate the timely deployment of systems and execute project plans for large-scale initiatives.</li>\n<li>Oversee parts depot inventory and track equipment across the complete lifecycle,delivery, storage, staging, deployment, and handoff,within each data center facility.</li>\n<li>Partner closely with the Hardware Support team to ensure prompt resolution of data center infrastructure support tickets.</li>\n<li>Coordinate with the RMA team to ensure defective components are returned and replacements are ordered efficiently.</li>\n<li>Adhere to established installation standards and documentation regarding placement, labeling, and cabling to maintain consistency and operational discoverability across all facilities.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Familiarity with critical data center infrastructure systems, including power distribution, airflow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management.</li>\n<li>Professional fluency in both English and Spanish.</li>\n<li>High attention to detail and a proven ability to follow complex technical instructions precisely.</li>\n<li>Proactive work ethic with a strong commitment to continuous professional development.</li>\n<li>Willingness to travel to support the initialization and turn-up of new data center locations.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Prior experience troubleshooting enterprise server hardware.</li>\n<li>Demonstrated knowledge of network topology and architecture.</li>\n<li>Familiarity with enterprise ticketing platforms, such as JIRA and Zendesk.</li>\n<li>Hands-on experience with Linux system administration.</li>\n<li>Experience working within large-scale, distributed data center environments.</li>\n<li>Technical experience with Supermicro and Nvidia hardware infrastructure.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/a46d9486-4d9f-47cd-acb5-1a6ee2cac6f4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/a46d9486-4d9f-47cd-acb5-1a6ee2cac6f4","x-work-arrangement":"onsite","x-experience-level":null,"x-job-type":"full-time","x-salary-range":"$89K - $119K","x-skills-required":["English","Spanish","DCIM software","data center infrastructure systems","power distribution","airflow management","environmental monitoring","capacity planning","structured cabling","cable management"],"x-skills-preferred":["enterprise server hardware","network topology","JIRA","Zendesk","Linux system administration","Supermicro","Nvidia hardware infrastructure"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-19T20:27:49.234Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bluffdale, Utah"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"English, Spanish, DCIM software, data center infrastructure systems, power distribution, airflow management, environmental monitoring, capacity planning, structured cabling, cable management, enterprise server hardware, network topology, JIRA, Zendesk, Linux system administration, Supermicro, Nvidia hardware infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":89000,"maxValue":119000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6f427b0b-7dd"},"title":"Demand & Supply Planning Manager","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>We are seeking experienced Demand &amp; Supply Planning Managers to help build a brand-new planning function for Lambda&#39;s data center hardware, as part of Lambda&#39;s Supply Chain team, which makes sure the right systems, racks, and networking equipment are in the right place at the right time to power our rapidly growing AI cloud footprint.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Demand Planning &amp; Forecasting</strong></p>\n<ul>\n<li>Own the demand forecast for your assigned portfolio, translating data center deployment plans, customer commitments, and capacity roadmaps into a unit-level, time-phased view of what we need and when.</li>\n<li>Build and maintain forecast models, assumptions, and scenarios (base, upside, downside), and track forecast accuracy and bias over time.</li>\n<li>Partner with Go-to-Market, Project Management, Finance, and Data Center Engineering to keep the demand signal current as customer commitments, cluster designs, and site readiness change.</li>\n<li>Establish clear forecast input ownership, cadence, and change-control so that upstream changes are visible and acted on quickly.</li>\n</ul>\n<p><strong>Supply Planning &amp; Capacity Alignment</strong></p>\n<ul>\n<li>Convert demand into supply and build plans for finished systems, racks, and networking equipment, including ODM/OEM build slots, integration capacity, and delivery schedules.</li>\n<li>Align partner manufacturing capacity and lead times with the demand forecast, and drive resolution when supply and demand do not match.</li>\n<li>Work with Commodity Management to understand component availability and allocation (accelerators, memory, storage, optics, power, cooling) and reflect those constraints in the supply plan.</li>\n<li>Lead execution timing across the supply chain, setting and driving the schedule so that material procurement is placed and delivered on time to support build and deployment commitments.</li>\n</ul>\n<p><strong>Integrated Planning (S&amp;OP)</strong></p>\n<ul>\n<li>Run or contribute to the Sales &amp; Operations Planning cycle for infrastructure: demand review, supply review, and executive alignment on trade-offs.</li>\n<li>Produce clear, decision-ready views of supply versus demand, gaps, risks, and recommended actions for leadership.</li>\n<li>Drive consensus across functions, and escalate constraints with options and a recommendation, not just a problem statement.</li>\n</ul>\n<p><strong>Inventory &amp; Working Capital</strong></p>\n<ul>\n<li>Leverage analytical models to define and manage inventory targets, buffer strategies, and safety stock for long-lead and critical items, balancing deployment risk against capital and obsolescence exposure.</li>\n<li>Monitor on-hand, in-transit, and committed inventory, and flag excess, shortage, and aging exposure early.</li>\n</ul>\n<p><strong>Supply Risk &amp; Resilience</strong></p>\n<ul>\n<li>Identify, quantify, and help mitigate risks to deployment schedules, including lead-time changes and long-lead component exposure, manufacturing capacity constraints and build slot risk, component allocation and shortages, single points of failure across partners, sites, and regions, tariff, trade compliance, and geopolitical impacts on flow and timing, demand volatility and forecast error.</li>\n<li>Build contingency and recovery plans, and run scenario analysis so leadership can see the options before a constraint becomes a delay.</li>\n</ul>\n<p><strong>Planning Processes, Data &amp; Tools</strong></p>\n<ul>\n<li>Help design and stand up the planning processes, cadence, and governance for a new team.</li>\n<li>Define and report the metrics that matter, such as forecast accuracy, plan adherence, days of supply, inventory turns, on-time delivery, and shortage exposure.</li>\n<li>Build the data foundation and reporting needed to plan at scale, and contribute to selecting and implementing planning systems and automation.</li>\n</ul>\n<p><strong>Cross-Functional Partnership</strong></p>\n<ul>\n<li>Partner with Sourcing (ODM/OEM) so commercial commitments, capacity reservations, and ramp terms line up with the plan.</li>\n<li>Partner with Commodity Management on component supply, allocation, and long-lead procurement.</li>\n<li>Partner with Operations and Logistics on inbound execution, delivery timing, and exceptions.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>8+ years of experience in Demand Planning, Supply Planning, S&amp;OP, Supply Chain, or Materials Planning for hardware and direct experience planning at the system, rack, or complex-assembly level.</li>\n<li>Demonstrated experience building demand forecasts and translating them into supply, build, and inventory plans in a long-lead-time, supply-constrained environment.</li>\n<li>Strong understanding of BOM structures, lead times, and how component constraints flow through to finished-goods availability.</li>\n<li>Experience working with ODMs, OEMs, or contract manufacturers on capacity, build schedules, and ramp planning.</li>\n<li>Hands-on experience running or contributing to S&amp;OP or an equivalent integrated planning process.</li>\n<li>Strong analytical and financial acumen, with the ability to combine mathematical models and advanced spreadsheet skills.</li>\n<li>Experience with ERP and planning systems and a track record of improving planning processes and tooling.</li>\n<li>Proven ability to influence senior stakeholders, drive alignment across functions, and communicate risk and trade-offs clearly.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience supporting hyperscale data center or AI infrastructure build programs.</li>\n<li>Experience planning through new product introductions, platform transitions, and rapid capacity ramps.</li>\n<li>Experience managing allocation and shortage scenarios for constrained components.</li>\n<li>Familiarity with the ODM/OEM ecosystem and how build and supply models affect planning.</li>\n<li>Experience implementing or scaling planning tools and platforms.</li>\n<li>APICS/ASCM certification (CPIM, CSCP) or equivalent.</li>\n<li>Willingness to travel domestically and internationally as needed.</li>\n<li>Bachelor&#39;s degree in Engineering, Supply Chain, Business, or related field; advanced degree a plus.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/4050830b-bff1-4d20-83df-efcdc80f0149","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/4050830b-bff1-4d20-83df-efcdc80f0149","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$198K - $264K","x-skills-required":["Demand Planning","Supply Planning","S&OP","Supply Chain","Materials Planning","ERP","planning systems","statistical forecasting","inventory optimization","scenario modeling"],"x-skills-preferred":["AI cloud infrastructure","data center hardware","ODM/OEM","component allocation","shortage mitigation","planning tools and platforms","SQL","Python","BI tools"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-07T20:13:17.568Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Logistics & Supply Chain","industry":"Technology","skills":"Demand Planning, Supply Planning, S&OP, Supply Chain, Materials Planning, ERP, planning systems, statistical forecasting, inventory optimization, scenario modeling, AI cloud infrastructure, data center hardware, ODM/OEM, component allocation, shortage mitigation, planning tools and platforms, SQL, Python, BI tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":198000,"maxValue":264000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b437ddcf-890"},"title":"Network Infrastructure Delivery Manager","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>You’ll lead network implementation across data centers, network edges, points of presence and backbone routes, from design planning through acceptance and handover.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead Network Implementation - Support Engineering during design planning to check supplier lead times, equipment availability and site readiness.</li>\n<li>Drive deployments, refreshes, end-of-life replacements, labs and special projects.</li>\n<li>Coordinate fiber paths outside and inside facilities, site access, optics and local technicians with Data Center Operations.</li>\n<li>Maintain schedules, dependencies and recovery plans.</li>\n<li>Own implementation drawings for the network edge, working with Network Engineering on the design plan.</li>\n<li>Validate and Close Out Work - Own contracted circuit delivery through activation.</li>\n<li>Build close out packages with as-built drawings, meet-me-room records, test results and approvals.</li>\n<li>Manage service changes, upgrades, disconnections and carrier escalations with Engineering and Operations.</li>\n<li>Improve Implementation Practices - Develop implementation runbooks, playbooks and acceptance checklists.</li>\n<li>Administer network delivery tools and supplier portals.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Experience leading network implementation in data centers, at the network edge or across carrier networks, including changes to live infrastructure.</li>\n<li>Hands-on experience with fiber routes, cross-connects, equipment installation and physical site readiness.</li>\n<li>Ability to read network designs, review physical and logical test results, and identify gaps between approved scope and delivered work.</li>\n</ul>\n<p><strong>Nice To Have</strong></p>\n<ul>\n<li>Experience delivering labs, proofs of concept, new products or equipment refreshes.</li>\n<li>Ability to interpret optical time-domain reflectometer (OTDR) traces.</li>\n<li>Experience administering NetBox, Jira or carrier portals.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/94c22eec-bd2d-40ab-82ce-b71adc28fabb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/94c22eec-bd2d-40ab-82ce-b71adc28fabb","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$196K - $290K","x-skills-required":["network implementation","data centers","fiber routes","cross-connects","equipment installation","physical site readiness"],"x-skills-preferred":["labs","proofs of concept","new products","equipment refreshes","OTDR traces","NetBox","Jira","carrier portals"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-09T20:31:39.482Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"network implementation, data centers, fiber routes, cross-connects, equipment installation, physical site readiness, labs, proofs of concept, new products, equipment refreshes, OTDR traces, NetBox, Jira, carrier portals","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":196000,"maxValue":290000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_402ca8f4-a73"},"title":"Network Planning & Design Manager","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Francisco or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p><strong>About the Role</strong></p>\n<p>Design the connectivity behind Lambda’s next data center, backbone route and customer interconnect. You’ll work directly with carrier engineers and equipment partners to turn capacity, latency and resilience requirements into infrastructure we can build.</p>\n<p>Our customers are building AI training and inference systems that depend on moving data to and between compute sites. Your decisions about routes, carrier reach and future capacity will help determine how that network grows.</p>\n<p>This is a technical individual contributor role on the Network Planning and Delivery team within Cloud and AI Networking. You’ll take designs through Network Engineering approval and stay involved as our Delivery Managers and suppliers put them into service. You’ll see your designs become working infrastructure and help set the standards for what we build next.</p>\n<p><strong>What You’ll Do</strong></p>\n<p><strong>Design the Network</strong></p>\n<ul>\n<li>Develop physical and optical connectivity designs for data centers, points of presence, backbone routes and customer interconnects.</li>\n<li>Translate customer and network requirements into routes, capacity plans, equipment needs and acceptance criteria, working within Network Engineering’s and HPC architecture.</li>\n<li>Compare dark fiber, wavelength, internet transit and interconnection options on latency, resilience, total cost, delivery time and room for expansion.</li>\n<li>Validate route diversity and identify shared conduits, building entrances, fiber extensions and other dependencies that could compromise a design.</li>\n</ul>\n<p><strong>Develop Solutions with Suppliers</strong></p>\n<ul>\n<li>Work with carrier engineering teams to develop routes, extend reach and resolve coverage, site access or capacity constraints.</li>\n<li>Evaluate new and existing suppliers, gather technical proposals and budgetary quotes, and recommend options with clear tradeoffs.</li>\n<li>Work with optical and network equipment partners on alternatives when fiber availability, equipment lead times or cost put a build at risk.</li>\n<li>Give Supply Chain a defined technical scope for negotiations and contracting, including supplier assumptions and unresolved risks.</li>\n</ul>\n<p><strong>Take Designs into Delivery</strong></p>\n<ul>\n<li>Produce a complete design package for Network Engineering approval, then work with Delivery on the build schedule, dependencies and acceptance requirements.</li>\n<li>Resolve design questions during delivery and take revisions back through Network Engineering review when site or supplier conditions change.</li>\n<li>Work with Site Selection and network planning on carrier access, backbone capacity and future expansion before deployment dates are committed.</li>\n<li>Turn lessons from completed projects into reusable designs and standards with Network Engineering.</li>\n</ul>\n<p><strong>You</strong></p>\n<ul>\n<li>Experience designing or developing carrier, cloud or data center connectivity, with designs that have progressed from requirements into delivery.</li>\n<li>Practical knowledge of dark fiber, wavelength services, optical transport and internet interconnection.</li>\n<li>Ability to assess physical route diversity, equipment dependencies and capacity needs beyond what a route map alone shows.</li>\n<li>Experience working directly with carrier engineers, colocation providers or equipment suppliers to solve design constraints.</li>\n<li>Ability to compare supplier options on technical fit, delivery risk and total cost, and explain your recommendation.</li>\n<li>Clear design documentation that engineering reviewers and delivery teams can use.</li>\n</ul>\n<p><strong>Nice To Have</strong></p>\n<ul>\n<li>Experience designing long-haul optical networks or dense wavelength division multiplexing (DWDM) systems.</li>\n<li>Experience with private cloud connectivity, internet exchanges or large compute deployments.</li>\n<li>Carrier solutions engineering experience, or familiarity with route mapping and capacity planning tools.</li>\n</ul>\n<p><strong>We Are Looking for Someone Who Is</strong></p>\n<ul>\n<li>Curious enough to investigate how a proposed route will work in the field.</li>\n<li>Comfortable making a recommendation, explaining the assumptions and revising it when the facts change.</li>\n<li>Motivated by seeing your designs built and improving how the next project gets done.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/3853bc6e-a75d-417e-8fd0-ae5446c44e1e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/3853bc6e-a75d-417e-8fd0-ae5446c44e1e","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$196K - $290K","x-skills-required":["dark fiber","wavelength services","optical transport","internet interconnection","route diversity","capacity planning"],"x-skills-preferred":["long-haul optical networks","dense wavelength division multiplexing (DWDM) systems","private cloud connectivity","internet exchanges","large compute deployments","carrier solutions engineering"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-09T20:32:38.358Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"dark fiber, wavelength services, optical transport, internet interconnection, route diversity, capacity planning, long-haul optical networks, dense wavelength division multiplexing (DWDM) systems, private cloud connectivity, internet exchanges, large compute deployments, carrier solutions engineering","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":196000,"maxValue":290000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_96851548-2e7"},"title":"Employee Engagement Program Manager","description":"<p>We are seeking an Employee Engagement Program Manager to join our team at Lambda, a leader in AI cloud infrastructure. As an Employee Engagement Program Manager, you will play a crucial role in ensuring that all employee-facing content is accurate, easy to find, and consistent in tone.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Audit employee-facing pages, websites, FAQs, guides, and policies.</li>\n<li>Write and edit onboarding guides, templates, FAQs, and how-tos.</li>\n<li>Set consistent tone, voice, and format across content.</li>\n<li>Organize content so employees can find answers.</li>\n<li>Fix pages and processes when something isn&#39;t working.</li>\n<li>Track usage and feedback to see what&#39;s working and what isn&#39;t.</li>\n<li>Coordinate with HR, Talent, on shared content.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>3 to 5 years in writing, content, or program coordination.</li>\n<li>Strong, clear, creative writing and editing skills.</li>\n<li>Comfort building style guides and content standards.</li>\n<li>A sharp eye for content that&#39;s outdated or hard to find.</li>\n<li>Comfort tracking metrics like page views, clicks, comments, reactions.</li>\n</ul>\n<p>Nice to have: experience with Notion, Confluence, Wikis.</p>\n<p>In this role, you will have a front-row seat to the growth of a company shaping the future of tech, and you&#39;ll have a direct hand in making that growth possible. You&#39;ll be part of the Employee Engagement team, and your goal will be to be the most helpful team at Lambda.</p>\n<p>We offer a salary range of $135K - $180K, as well as generous cash and equity compensation, health, dental, and vision coverage, wellness and commuter stipends, and a 401k Plan with 2% company match.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/7eb47d58-562f-48c8-91cb-3c1aa58fcf89","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/7eb47d58-562f-48c8-91cb-3c1aa58fcf89","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$135K - $180K","x-skills-required":["writing","content creation","program coordination","style guides","metrics tracking"],"x-skills-preferred":["Notion","Confluence","Wikis"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-07T15:11:24.562Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Human Resources","industry":"Technology","skills":"writing, content creation, program coordination, style guides, metrics tracking, Notion, Confluence, Wikis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":135000,"maxValue":180000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_aa7234d2-8e8"},"title":"Principal Data Center Supply Chain Lead","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda&#39;s designated work from home day is currently Tuesday.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the multi-year sourcing and category strategy for the equipment and construction scopes that deliver Lambda&#39;s datacenter capacity , long-lead electrical and mechanical equipment, construction, and trade packages</li>\n<li>Partner with Construction, Design, and Development teams from site selection and basis-of-design through procurement, construction, commissioning, and handover, ensuring sourcing strategy and construction schedule are built against the same dates</li>\n<li>Own procurement of long-lead datacenter infrastructure equipment , generators, switchgear, transformers, UPS, busway, chillers, air handling units, and cooling distribution , sequencing awards and deliveries to protect the critical path</li>\n<li>Lead the contracting strategy for construction delivery: select and negotiate with general contractors, EPCs, design firms, and specialty trades, and choose the commercial model (lump sum, GMP, cost-plus, design-build) that fits each project&#39;s risk profile</li>\n<li>Serve as Lambda&#39;s lead negotiator on the highest-value construction and equipment agreements , setting negotiation strategy, driving consensus on goals and success criteria internally and externally, and partnering with Legal on master agreement terms</li>\n<li>Own the owner-furnished equipment strategy , deciding what Lambda buys directly versus through the contractor, and managing the logistics, storage, warranty, and installation interfaces that decision creates</li>\n<li>Drive change order discipline across active construction projects: assess claims and schedule impacts against the underlying business case, partner with Construction Management and Legal on resolution, and adjust impact models cross-functionally</li>\n<li>Identify systematic, long-term cost reduction opportunities across equipment and construction categories , standardization, volume aggregation across sites, early buys, and design-to-cost , and lead the cross-functional effort to realize them</li>\n<li>Build and own strategic partnerships with OEMs, contractors, and trade partners that secure capacity and delivery slots in a constrained market, and drive innovation, prefabrication, and schedule compression</li>\n<li>Negotiate and provide strategic oversight of delivery commitments, milestones, and SLAs across equipment vendors and construction partners; own compliance end to end and cascade expectations into the business</li>\n<li>Set standards for procurement and contract execution across the construction program, serve as the escalation point on pricing and delivery issues, and deliver executive-level briefings on execution models, anticipated risks, and contingency plans</li>\n<li>Partner with stakeholders, contractors, and suppliers to identify threats to schedule, cost, and safety, determine which alternative solutions or policy changes best mitigate them, and drive remediation</li>\n<li>Oversee supplier and contractor performance management , including quality and safety deliverables , through audits, site walks, and business reviews, and ensure governance keeps sourcing and contract data current</li>\n<li>Define and execute the strategy for industry and ecosystem engagement across the datacenter construction supply base, articulate business cases that earn leadership buy-in, and influence decisions that deploy across the portfolio</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have deep, hands-on experience across end-to-end supply chain (planning, sourcing, logistics, fulfillment) and strategic sourcing, procurement, or category management , typically 10+ years, or 8+ with a Master&#39;s degree</li>\n<li>Hold a Bachelor&#39;s degree in Supply Chain Management, Engineering, Business, Data Analytics, Finance, or a related field, or have equivalent experience</li>\n<li>Have owned multi-year category strategies for complex, high-spend, supply-constrained areas with material cost and continuity-of-supply impact</li>\n<li>Are recognized as a lead negotiator , you have personally closed the hardest contracts, not directed someone else to</li>\n<li>Have set process, policy, or governance standards that an organization adopted, and have driven policy change to mitigate real business risk</li>\n<li>Have led through influence at scale: 3+ years of informal or indirect team leadership, coaching senior practitioners, and driving consensus across functions you do not own</li>\n<li>Brief and persuade executives comfortably, internally and across the supplier base, and can build the business case that earns the decision</li>\n<li>Are fluent with data and use it to anticipate risk, model change-order impact, and defend decisions</li>\n<li>Operate well in ambiguity, on compressed timelines, in a supply-constrained market</li>\n<li>Have worked shoulder to shoulder with construction teams , general contractors, construction managers, design and engineering firms, and specialty trades</li>\n<li>Have led construction contracting and contract administration: selecting delivery models, negotiating GC/EPC and trade agreements, and managing change orders, claims, and closeout through to project completion</li>\n<li>Have procured long-lead datacenter or critical-facility infrastructure equipment and sequenced it against a live construction schedule</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Category management experience with datacenter infrastructure equipment – Generators, Switchgear, Chillers, Air Handling Units, etc.</li>\n<li>Program management experience delivering datacenter capacity at scale, from equipment sourcing and procurement through project execution</li>\n<li>Experience negotiating master agreements and resolving contract disputes alongside Legal in a high-growth company</li>\n<li>Experience standing up sourcing process, governance, or supplier management practice where little existed</li>\n<li>Experience applying AI and automation tooling to supply chain or procurement workflows</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/d0cb9da4-94e2-491f-8f4f-c2bb1425f698","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/d0cb9da4-94e2-491f-8f4f-c2bb1425f698","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$211K - $331K","x-skills-required":["supply chain management","strategic sourcing","procurement","category management","construction contracting","contract administration","data analysis","negotiation","leadership"],"x-skills-preferred":["datacenter infrastructure equipment","program management","master agreements","contract disputes","sourcing process","governance","supplier management","AI","automation tooling"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-30T16:14:02.643Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Logistics & Supply Chain","industry":"Technology","skills":"supply chain management, strategic sourcing, procurement, category management, construction contracting, contract administration, data analysis, negotiation, leadership, datacenter infrastructure equipment, program management, master agreements, contract disputes, sourcing process, governance, supplier management, AI, automation tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":211000,"maxValue":331000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_16ad446d-f51"},"title":"Senior Cloud Infrastructure Engineer, Cloud Foundations","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p><strong>Job Details</strong></p>\n<ul>\n<li>Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</li>\n</ul>\n<p>Cloud Foundations manages the account, access, and network foundation that Lambda&#39;s cloud infrastructure runs on, implementing governance and access controls in line with company policies. In practice that means AWS accounts and IAM, the VPC and transit network structure, DNS, and the Terraform execution platform that every change flows through.</p>\n<p>This is a new team, and this role helps define it. Working closely with Security, GRC, IT, and the engineering teams that consume the foundation, this position turns policy into working controls and paved paths, so that hundreds of engineers can safely self-serve instead of filing requests.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own and evolve the IaC execution platform (Terraform, Atlantis): how infrastructure changes are proposed, reviewed, and applied across the company</li>\n<li>Design and operate Lambda&#39;s cloud account, access, and IAM structure: organizational hierarchy, provisioning, and permission models</li>\n<li>Own the cloud network foundation: VPCs, Transit Gateway, and DNS, including the patterns other teams build on</li>\n<li>Drive AWS cloud governance: tagging standards, compliance guardrails, and cost visibility and accountability</li>\n<li>Implement least-privilege access and compliance automation in line with company requirements and policies, replacing manual access and provisioning work with self-service</li>\n<li>Help shape how this new team operates: its scope, priorities, and service boundaries</li>\n<li>Participate in an on-call rotation and keep the systems you own well-documented, reliable, and observable</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>6+ years of experience in cloud infrastructure, cloud platform, or cloud security engineering, or a closely related discipline</li>\n<li>Deep experience managing AWS at scale: multi-account organizations, IAM and permission boundaries, SCPs, and resource organization</li>\n<li>Strong foundation in infrastructure-as-code (Terraform) and the tooling around it: modules, state management, and automated plan/apply workflows</li>\n<li>Solid cloud networking fundamentals: VPC design, transit and hybrid connectivity, DNS, and edge/CDN configuration</li>\n<li>Comfortable writing the automation and tooling that runs the foundation (Go and/or Python), and treating it as a product: real users, real quality standards, and things that actually get adopted</li>\n<li>Use AI tools as a natural part of how you work, and hold their output to the same bar as your own: you review it, verify it, and own what ships</li>\n<li>Build for the many, not for one team or one use case</li>\n<li>Comfortable with ambiguity and clarifying ownership</li>\n<li>Distill the right problem out of the noise: ask the why behind the why</li>\n<li>Own what you build past the point it ships: monitor it, measure whether it actually helped, and act on what you learn</li>\n<li>Sweat the details and aren&#39;t satisfied until things run smoothly</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience building agentic workflows that automate meaningful parts of infrastructure operations or governance</li>\n<li>Experience implementing controls for a compliance program (SOC 2, ISO 27001) without turning it into manual toil</li>\n<li>Cloud cost management and FinOps experience</li>\n<li>Hands-on experience with Azure, GCP, or OCI alongside AWS</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/4d9ec8c8-78a5-478f-9d7a-f9bd00e9f4d1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/4d9ec8c8-78a5-478f-9d7a-f9bd00e9f4d1","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K - $340K","x-skills-required":["AWS","Terraform","Infrastructure as Code","Cloud Networking","Python","Go","Cloud Governance","Compliance Automation"],"x-skills-preferred":["Azure","GCP","OCI","Cloud Cost Management","FinOps","SOC 2","ISO 27001"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-28T23:29:22.283Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AWS, Terraform, Infrastructure as Code, Cloud Networking, Python, Go, Cloud Governance, Compliance Automation, Azure, GCP, OCI, Cloud Cost Management, FinOps, SOC 2, ISO 27001","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":340000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a967e318-f7c"},"title":"Senior Workday Payroll Architect","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>Business Technology at Lambda builds and scales the internal systems that power our business. We partner across the company with Finance, GTM, Engineering, and People to implement tools, automate workflows, and ensure data flows securely and accurately.</p>\n<p>We are hiring a Workday Payroll, Time tracking &amp; Absence Lead to own these modules end to end, from implementation design through go-live and into steady-state operations. You will be our resident expert on how Workday calculates, accrues, and pays, for US employees running on Workday Payroll and for our international workforce running through Workday and our global payroll providers.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Implementation: Serve as the functional lead for Payroll, Time Tracking, and Absence in our Workday implementation: drive design sessions, own configuration decisions, build and test the tenant alongside our implementation partner, and sign off on readiness for cutover, parallel testing, and hypercare.</li>\n<li>US Payroll Configuration: Configure and maintain Workday Payroll for US &amp; Canada employees: pay groups, earnings and deductions, pay component groups, federal, state, and local tax setup, garnishments, payroll accounting, and period-end and year-end processing (W-2s, quarterly filings) with our tax filing provider.</li>\n<li>International Payroll: Design and operate the flow between Workday and our international payroll providers (Workday Global Payroll Connect or PECI/PICOF-based integrations): payroll input files, results return, GL posting, and reconciliation for each country we operate in.</li>\n<li>Time Tracking: Configure Time Tracking for hourly and non-exempt populations, including work schedules, time entry codes, time calculations (overtime, meal and rest break compliance, shift differentials), approvals, and state-specific rules.</li>\n<li>Absence: Build and maintain Absence plans across US and international populations: flexible PTO, sick leave accruals by jurisdiction, statutory leave, and leave-of-absence types with the right eligibility, accrual, carryover, and payout rules.</li>\n<li>Integrations &amp; Data: Own the payroll-adjacent integration footprint (benefits carriers, 401k, tax filing, equity compensation, GL to NetSuite) and the data validation that keeps Workday, payroll results, and the general ledger in agreement.</li>\n<li>Payroll Operations Partnership: Partner with Payroll Operations and Accounting on every payroll cycle: retro calculations, off-cycle payments, pre- and post-payroll audits, and root-cause analysis when results don&#39;t match expectations.</li>\n<li>Compliance &amp; Controls: Design payroll processes and Workday security so they satisfy SOX ITGC and payroll control requirements: segregation of duties, approval workflows, audit trails, and evidence capture. Support internal and external audit requests.</li>\n<li>Releases &amp; Roadmap: Stay current on Workday&#39;s semi-annual releases, assess impact on Payroll, Time tracking, and Absence, run regression testing, and adopt new functionality that removes manual work.</li>\n<li>Enablement: Write the documentation, train HR, managers, and Payroll on how these modules work, and build the reports and dashboards that let the business self-serve.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Experience: 10+ years in HRIS or payroll systems, with at least 6+ years hands-on configuring Workday Payroll, Time Tracking, and Absence. You have taken at least one Workday Payroll implementation live as the functional lead, ideally with Time Tracking and Absence in the same phase.</li>\n<li>Workday Depth: Fluent in payroll business processes, the calculation engine (calculated fields, pay component logic, custom reports), tax configuration, retro processing, and payroll accounting. Workday Payroll, Time Tracking, or Absence certification (or equivalent partner experience) strongly preferred.</li>\n<li>Global Payroll: Have run or integrated international payroll through Workday, whether via Global Payroll Connect partners or custom integrations, and understand the data, timing, and reconciliation challenges that come with multiple countries and providers.</li>\n<li>Payroll Knowledge: Know US payroll fundamentals cold: multi-state taxation, FLSA, wage and hour rules (especially California), garnishments, imputed income, equity compensation and RSU withholding, and year-end.</li>\n<li>Compliance &amp; Controls: Have operated in a SOX or audit-facing environment and understand why segregation of duties, approvals, and evidence matter in payroll.</li>\n<li>Operating Rigor: You test thoroughly, document what you build, and never move a payroll change into production without a parallel run or reconciliation behind it.</li>\n<li>Cross-functional Partnership: Comfortable translating between Payroll, People, Accounting, and Engineering. You can explain a retro calculation to a controller and a tax setup to a recruiter.</li>\n<li>Adaptability: Comfortable with ambiguity and velocity at a pre-IPO company. Requirements change, headcount grows fast, new countries open, and you re-plan without drama.</li>\n<li>Attitude: An enthusiastic, go-for-it attitude. When something looks off in a payroll result, you can&#39;t leave it alone until you find the root cause.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with configurations in Workday’s HCM, Benefit and compensation</li>\n<li>Experience migrating from Rippling or another all-in-one HR/payroll platform to Workday.</li>\n<li>Workday Pro certifications in Payroll, Time Tracking, Absence, or Integrations.</li>\n<li>Experience with international payroll providers (for example ADP Celergo, CloudPay, Papaya Global, Deel) and employer-of-record arrangements.</li>\n<li>Familiarity with the rest of our stack: NetSuite, Okta, Lumos, Workato, BigQuery.</li>\n<li>IPO readiness experience, including payroll control design and equity compensation processing.</li>\n<li>Experience using AI tooling to accelerate testing, documentation, or reconciliation.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/ce39875a-b581-4202-a3c2-807ceeba7087","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/ce39875a-b581-4202-a3c2-807ceeba7087","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$206K - $275K","x-skills-required":["Workday Payroll","Time Tracking","Absence","HRIS","payroll systems","SOX","audit-facing environment","Global Payroll Connect","US payroll fundamentals"],"x-skills-preferred":["Workday Pro certifications","international payroll providers","NetSuite","Okta","Lumos","Workato","BigQuery","AI tooling"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-26T20:38:19.525Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Human Resources","industry":"Technology","skills":"Workday Payroll, Time Tracking, Absence, HRIS, payroll systems, SOX, audit-facing environment, Global Payroll Connect, US payroll fundamentals, Workday Pro certifications, international payroll providers, NetSuite, Okta, Lumos, Workato, BigQuery, AI tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":206000,"maxValue":275000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f3572d47-591"},"title":"Staff Product Manager - Compute","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us. Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda&#39;s designated work from home day is currently Tuesday.</p>\n<p><strong>About the Role</strong></p>\n<p>Compute is the product at Lambda. Customers come to us for graphics processing units (GPUs) they can get, hold, and run hard, and nearly everything else we sell depends on the compute layer working well. As a product manager on the Compute team, you will own a meaningful part of defining the future of how we provide compute to our customers.</p>\n<p>The domain covers the shape of what customers rent, meaning instance families, sizes, and tenancy, across both GPUs and central processing units (CPUs). It covers how customers get capacity and hold onto it. It covers what they build production automation against, and how fast and predictably that behaves. It covers what happens once the workload is running, which means placement, performance isolation, hardware failure, maintenance, and the signals customers need to run their own operations.</p>\n<p>You will work across these areas depending on which customer needs are burning hottest. Most of this is the feature set a mature compute cloud already has and Lambda does not have yet. A neocloud is not a hyperscaler, though, and copying that list wholesale is the wrong instinct. Part of the job is judgment about which of those capabilities matter here and which carry cost we should not pay. The other part is deciding where serving AI workloads well means building something the hyperscalers never needed.</p>\n<p>Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn&#39;t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn&#39;t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate.</p>\n<p>We hire product managers who learn new domains fast and reason rigorously from evidence. Deep compute platform experience at a hyperscaler or neocloud, across both GPUs and CPUs, is highly desired. If you have built compute primitives at a cloud provider and want to do it again somewhere the answers are not settled, we&#39;d love to hear from you.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Find the Real Problem: Get close to customers, deals, escalations, and support on On-Demand GPU Instances and 1-Click Clusters, and work out what is actually blocking them rather than what they asked for.</li>\n<li>Decide What Matters: Rank the work and sequence it, and be honest about what Lambda is not doing this year and why.</li>\n<li>Write the Definition: Produce requirements, user stories, and acceptance criteria precise enough that engineering builds from them without a translation layer.</li>\n<li>Price and Package It: Decide how your part of compute is priced, packaged, and committed to across NVIDIA GPU generations, and how customers compare the options.</li>\n<li>Deliver With Engineering: Work through the build with the compute and control plane teams, make the tradeoff calls that come up mid-flight, and keep scope honest against the date.</li>\n<li>Land the Launch: Set launch criteria that cover the operational readiness an infrastructure product needs, and get documentation, pricing, sales, and support in place before it goes live rather than after.</li>\n<li>Measure and Iterate: Define what success looks like before launch, then go find out whether it happened, using adoption and utilization rather than opinion.</li>\n<li>Make the Call Stick: Take a position on contested tradeoffs, write it down well enough that people can disagree with it precisely, and keep owning the decision after it is made.</li>\n<li>Work as a Group: Partner with the other product managers on compute and with the teams that own storage, networking, orchestration, and commerce, so the pieces land as one product.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 7+ years of product management experience, including time on a compute platform at a hyperscaler, neocloud, or comparable cloud provider.</li>\n<li>Have shipped compute primitives that external customers used at scale, like instance types, capacity products, provisioning interfaces, or placement and isolation controls.</li>\n<li>Understand GPU and CPU infrastructure well enough to reason with engineers about launch paths, hardware failure modes, placement, and performance.</li>\n<li>Have owned a product where day two behavior mattered as much as launch, including failure handling, maintenance, and what customers are told when something breaks.</li>\n<li>Have owned pricing, packaging, or commitment terms for an infrastructure product.</li>\n<li>Can tell which parts of a hyperscaler playbook transfer to an AI cloud and which are cost without benefit.</li>\n<li>Can reason about utilization and capacity economics, and make the call when customer flexibility and hardware utilization pull against each other.</li>\n<li>Able to define iterative plans that move an organization from the current state towards the desired outcome.</li>\n<li>Can turn ambiguous customer, technical, and commercial inputs into product definition that multiple teams execute against.</li>\n<li>Communicate plainly, write well, and make decisions easier for people who do not all share the same context.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with interruptible or preemptible capacity, or with reservations and committed use products.</li>\n<li>Experience with the surfaces customers automate against, like public APIs, infrastructure as code providers, machine images, or snapshots.</li>\n<li>Experience with hardware failure handling across a large hardware footprint, like spare pools, node replacement, or fault containment.</li>\n<li>Experience with performance isolation and placement on shared hardware, including what a provider can honestly guarantee.</li>\n<li>Experience with bare metal or dedicated host products, including isolation between tenants.</li>\n<li>Experience with distributed training or large-scale inference workloads and what they demand of the compute layer.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/afb0b2d6-4ebc-47ca-ab80-1f41cb7a6b55","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/afb0b2d6-4ebc-47ca-ab80-1f41cb7a6b55","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$291K - $430K","x-skills-required":["GPU","CPU","cloud infrastructure","product management","compute platforms"],"x-skills-preferred":["interruptible or preemptible capacity","reservations and committed use products","hardware failure handling","performance isolation and placement","bare metal or dedicated host products","distributed training or large-scale inference workloads"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-09T17:49:34.733Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"GPU, CPU, cloud infrastructure, product management, compute platforms, interruptible or preemptible capacity, reservations and committed use products, hardware failure handling, performance isolation and placement, bare metal or dedicated host products, distributed training or large-scale inference workloads","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":291000,"maxValue":430000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_78597057-87e"},"title":"Principal Product Manager - Nvidia Technology Partnerships","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda&#39;s designated work from home day is currently Tuesday.</p>\n<p>About the Role Lambda works closely with NVIDIA as a partner and investor, and builds its cloud on their hardware. A partner, an investor, and a supplier are three different conversations, and this role holds all of them from the product side. As a product manager on the Foundational Infrastructure team, you stay current on where NVIDIA&#39;s hardware and software roadmap is heading and decide what Lambda should do about it. Some of what they build we should adopt and turn into products. Some of it we should pass on, and saying so early and clearly saves the company a great deal of work. You make that call with the evidence behind it, then route what we do take on to the product and engineering owners who will carry it.</p>\n<p>Holding it together means being the person both companies call, and making sure a request that arrives in one conversation reaches the right owner instead of sitting. Large joint engineering programs run through this role too. When the two companies build something together, you own the product side of it, including scope and what done means. That work is cross-functional by nature and rarely sits inside one team.</p>\n<p>Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn&#39;t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn&#39;t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate.</p>\n<p>We hire product managers who learn new domains fast and reason rigorously from evidence. Deep hardware platform or infrastructure software experience at a cloud provider, silicon vendor, or systems company is highly desired. If you have held a relationship like this before and know that the hard part is the judgment rather than the meetings, we&#39;d love to hear from you.</p>\n<p>What You&#39;ll Do:</p>\n<ul>\n<li>Track the Roadmap: Stay far enough ahead of where NVIDIA&#39;s hardware and software is going that Lambda can plan against it rather than react to it.</li>\n<li>Decide What Lambda Takes From NVIDIA: Call which of their new hardware and software Lambda should productize into On-Demand GPU Instances, 1-Click Clusters, and private cloud deployments, and which to pass on, with the reasoning written down.</li>\n<li>Turn Adoption Into Product: Take what Lambda adopts from NVIDIA the whole way into something customers can buy, including packaging, pricing, and launch criteria.</li>\n<li>Own the Relationship: Be the single point of contact both companies call. Route incoming requests to the right product and engineering owners and close the loop rather than letting things sit.</li>\n<li>Run the Joint Work: Own the product side of what the two companies build together, including scope and what done means.</li>\n<li>Bring the Partner View to Hardware: Work alongside Lambda&#39;s hardware product managers as new NVIDIA GPU generations move from evaluation into production, so the platform decisions they own are made with the best picture of what is coming.</li>\n<li>Write the Definition: Turn what comes out of the relationship into requirements, user stories, and acceptance criteria Lambda engineering can build from without a translation layer.</li>\n<li>Say No Clearly: Tell a partner what Lambda will not do and why, early and plainly enough that the relationship is better for it rather than worse.</li>\n<li>Measure the Call: Decide what a good adoption decision looks like before you make it, then go back and check whether it paid off.</li>\n<li>Work as a Group: Partner with the product managers who own compute, storage, networking, orchestration, and security, since most of what comes through this relationship lands in their areas.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Have 10+ years of product management experience, including time at a cloud provider, systems company, or silicon vendor.</li>\n<li>Have owned a strategic technology partnership where two companies built things together rather than only bought and sold.</li>\n<li>Can read a silicon and systems roadmap and judge what it means for a cloud business, including what is worth adopting and what is not.</li>\n<li>Understand GPU platforms well enough to hold a real technical conversation with the people who design them.</li>\n<li>Have made adoption decisions with meaningful capital and engineering cost behind them, and can explain the ones you got wrong.</li>\n<li>Have run a program where an outside company&#39;s engineers and your own had to land the same thing at the same time.</li>\n<li>Can say no to a powerful counterpart and keep the relationship.</li>\n<li>Able to define iterative plans that move an organization from the current state towards the desired outcome.</li>\n<li>Communicate plainly, write well, and make decisions easier for people who do not all share the same context.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience with GPU or accelerator platforms, including how a new generation moves through qualification into production.</li>\n<li>Experience evaluating a silicon or systems vendor&#39;s pre-release technology and deciding whether to build on it.</li>\n<li>Experience treating data center power, cooling, or density as product inputs rather than someone else&#39;s problem.</li>\n<li>Experience evaluating infrastructure software for adoption, including the build, buy, or partner decision.</li>\n<li>Experience running a co-development program with an external partner.</li>\n<li>Prior work at a GPU cloud, hyperscaler, or AI infrastructure company.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/8a013c28-058f-4de9-82ec-0f5f106b7f24","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/8a013c28-058f-4de9-82ec-0f5f106b7f24","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$338K - $500K","x-skills-required":["product management","hardware platform","infrastructure software","GPU platforms","technical communication"],"x-skills-preferred":["GPU or accelerator platforms","evaluating pre-release technology","data center power and cooling","infrastructure software adoption","co-development programs"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-08T17:07:12.970Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"product management, hardware platform, infrastructure software, GPU platforms, technical communication, GPU or accelerator platforms, evaluating pre-release technology, data center power and cooling, infrastructure software adoption, co-development programs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":338000,"maxValue":500000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_54eddc9e-0be"},"title":"Senior Brand Designer","description":"<p>We seek a talented Senior Brand Designer to lead and execute design projects that define and elevate our visual identity and brand. This role is crucial in shaping how Lambda is perceived across all touchpoints.</p>\n<p>As part of the design team, you&#39;ll create exceptional brand experiences for our customers and users. You&#39;ll be a key contributor to the creation and evolution of our brand identity, creating beautiful and intuitive designs for marketing, product, and internal initiatives.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Be a key contributor to the creation and evolution of our brand identity</li>\n<li>Work with marketing, product, and engineering teams to ensure a cohesive brand and high-quality design outputs</li>\n<li>Craft design assets across web, print, and presentation</li>\n<li>Manage multiple design projects to ensure timely delivery</li>\n<li>Experiment with new design tools to enhance the brand&#39;s visual appeal</li>\n<li>Help create and develop design processes that scale with the team</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>6+ years of experience in brand design, with a strong portfolio showcasing your ability to solve complex design problems</li>\n<li>Expert-level skills in design tools such as Figma, Adobe Creative Suite, and prototyping tools</li>\n<li>Strong understanding of typography, color theory, and visual composition</li>\n<li>Excellent communication and collaboration skills, with the ability to articulate design decisions and feedback clearly</li>\n<li>Experience with website design, UI/UX, presentation design, print design, event design, and social media design</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Advanced motion/3D skills: animating, compositing, rendering, rotoscoping</li>\n<li>Photography/videography skills: shooting, editing</li>\n<li>Experience with creative coding or generative art, especially where design and engineering intersect</li>\n<li>Experience in the machine learning or computer hardware industry</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/d9e9d02a-4d75-4132-a111-db490f124d6b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/d9e9d02a-4d75-4132-a111-db490f124d6b","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$143K - $190K","x-skills-required":["Figma","Adobe Creative Suite","prototyping tools","graphic design","digital design","print design","motion design"],"x-skills-preferred":["AI tools","prompting","creative coding","generative art","photography","videography","3D skills"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-01T14:27:19.010Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"Figma, Adobe Creative Suite, prototyping tools, graphic design, digital design, print design, motion design, AI tools, prompting, creative coding, generative art, photography, videography, 3D skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":143000,"maxValue":190000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_388e626b-468"},"title":"Employment Counsel","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>As Employment Counsel at Lambda, you will be the primary legal partner to our People team and business leaders on employment matters across a fast-growing and increasingly global workforce. You&#39;ll advise on the full employee lifecycle in the U.S. and abroad, help decide how Lambda hires in new countries (through Employer of Record and PEO partners and, as we scale, through our own local entities), and build the policies, playbooks, and training that let the company move quickly without taking on unnecessary risk. You will report to Lambda&#39;s Associate General Counsel, Corporate.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Employment Counseling</strong></p>\n<ul>\n<li>Provide practical, day-to-day advice to People Partners, Talent Acquisition, Total Rewards, and managers across the employee lifecycle, including hiring, onboarding, compensation, leave and accommodation, performance management, discipline, and separation.</li>\n<li>Advise on wage and hour compliance (including exempt/non-exempt classification and California-specific requirements), contractor and consultant classification, and multi-state employment compliance.</li>\n<li>Handle sensitive employee relations matters and separations, including drafting and negotiating separation and release agreements.</li>\n</ul>\n<p><strong>Hiring &amp; Recruiting Support</strong></p>\n<ul>\n<li>Partner with Recruiting and the People team on offers and hiring, and own Lambda&#39;s employment templates, including offer letters, employment agreements, and confidentiality and invention assignment agreements.</li>\n<li>Draft and negotiate bespoke employment agreements for senior and specialized hires as needed.</li>\n<li>Draft and maintain contractor, consultant, and advisor agreements, and advise on the right engagement model for each role.</li>\n</ul>\n<p><strong>International Expansion &amp; Global Employment</strong></p>\n<ul>\n<li>Partner with People, Finance, Tax, and Corporate on how Lambda hires in new countries, including when to use an EOR or PEO and when to establish a local entity, and manage those providers and the transitions between models.</li>\n<li>Own the employment side of building out local entities, including country-specific documentation, policies, and compliance.</li>\n<li>Advise on international employment matters across the employee lifecycle and manage local outside counsel.</li>\n</ul>\n<p><strong>Investigations &amp; Disputes</strong></p>\n<ul>\n<li>Conduct or oversee workplace investigations into complaints of harassment, discrimination, retaliation, and misconduct.</li>\n<li>Manage agency charges, demand letters, arbitrations, and litigation with outside counsel, with a focus on cost-effective outcomes.</li>\n</ul>\n<p><strong>Policies, Programs &amp; Compliance</strong></p>\n<ul>\n<li>Own and update the employee handbook, policies, and required notices across U.S. states and international locations.</li>\n<li>Advise on compensation programs with employment implications, including incentive and commission plans, pay transparency, and pay equity requirements.</li>\n<li>Support employment compliance for our data center and operations workforce, including scheduling, overtime, and workplace safety matters.</li>\n<li>Design and deliver training for managers and the People team.</li>\n</ul>\n<p><strong>Corporate Transactions &amp; Special Projects</strong></p>\n<ul>\n<li>Support the employment aspects of M&amp;A, reorganizations, and reductions in force, including WARN and international collective consultation requirements.</li>\n<li>Partner with corporate and securities counsel on employment matters tied to Lambda&#39;s growth and public company readiness.</li>\n<li>Build scalable processes, templates, and self-serve resources so the People team can handle routine matters and knows when to escalate.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>JD from an accredited law school and active admission to practice in at least one U.S. jurisdiction (California bar preferred, or eligibility for California Registered In-House Counsel).</li>\n<li>7+ years of employment law experience, ideally including time at a law firm with a recognized labor and employment practice and time in-house at a technology or other high-growth company.</li>\n<li>Hands-on experience supporting international expansion, including hiring through EOR and/or PEO providers, hiring directly through local entities, and moving employees between those models.</li>\n<li>Deep knowledge of U.S. federal and California employment law, plus working familiarity with employment frameworks in key international markets such as the UK, EU, Canada, and APAC.</li>\n<li>Experience conducting workplace investigations and managing employment litigation and agency matters.</li>\n<li>Sound judgment and the ability to give clear, practical advice that balances legal risk against business objectives, including when information is incomplete.</li>\n<li>Excellent written and verbal communication skills; able to explain complex issues simply to HR partners, managers, and executives.</li>\n<li>Low ego, high ownership, and comfortable building structure in a fast-moving environment.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience at a company scaling from several hundred to several thousand employees, or through an IPO.</li>\n<li>Experience with equity compensation, including working with Recruiting and Equity Administration teams on employee and candidate equity questions.</li>\n<li>Experience with employment issues for data center, hardware, or other operational and field-based workforces.</li>\n<li>Experience coordinating with immigration and global mobility counsel.</li>\n<li>Familiarity with global HRIS and EOR platforms.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/30c2f635-0362-481a-b0e4-94f8cae98a2e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/30c2f635-0362-481a-b0e4-94f8cae98a2e","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$189K - $280K","x-skills-required":["U.S. federal and California employment law","international employment law","employment litigation","workplace investigations","HRIS and EOR platforms"],"x-skills-preferred":["equity compensation","employment issues for data center and operational workforces","immigration and global mobility counsel","global HRIS and EOR platforms"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-20T14:54:22.029Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Legal","industry":"Technology","skills":"U.S. federal and California employment law, international employment law, employment litigation, workplace investigations, HRIS and EOR platforms, equity compensation, employment issues for data center and operational workforces, immigration and global mobility counsel, global HRIS and EOR platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189000,"maxValue":280000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_95de059f-d37"},"title":"Staff Security Architect","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>Lambda Security protects some of the world&#39;s most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We&#39;re responsible for securing every byte that powers breakthrough artificial intelligence.</p>\n<p>As a Staff Security Architect, you will be a principal technical leader responsible for shaping Lambda&#39;s overall security architecture, with a primary focus on Data Protection and Platform Security. Your work will define secure-by-default foundational patterns across our core AI infrastructure, hardware/GPU platform layers, multi-cloud control planes, and end-to-end data lifecycles.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Data Protection Architecture</strong></p>\n<ul>\n<li>Architect, design, and standardize end-to-end data protection strategy, encompassing data classification, cryptographic key management (KMS/HSM), data loss prevention (DLP), and privacy-preserving controls across customer data and AI model weights.</li>\n<li>Define data lifecycle security controls for training datasets, checkpoint storage, and model artifacts across cloud and on-premises storage layers.</li>\n<li>Drive confidential computing architectures, envelope encryption, and hardware-backed data security guarantees for high-consequence customer workloads.</li>\n<li>Establish robust zero-trust data access policies and fine-grained authorization frameworks for sensitive platform APIs and data repositories.</li>\n</ul>\n<p><strong>Platform Security &amp; Infrastructure Hardening</strong></p>\n<ul>\n<li>Design and enforce core platform security architectures across multi-tenant GPU infrastructure, bare-metal clusters, hypervisors, and container orchestration platforms (Kubernetes).</li>\n<li>Define strong tenant isolation, sandboxing, and secure virtualization controls to protect against cross-tenant side-channel and platform escape vulnerabilities.</li>\n<li>Conduct comprehensive threat models, architectural reviews, and risk assessments for core platform services and platform control planes.</li>\n</ul>\n<p><strong>Automation &amp; Strategic Innovation</strong></p>\n<ul>\n<li>Prototype reference implementations and security controls in Python or Go to demonstrate secure platform integration patterns.</li>\n<li>Pioneer AI-powered architectural security capabilities leveraging Lambda&#39;s hosted LLMs for automated threat modeling, automated policy validation, and data discovery.</li>\n<li>Assess third-party vendor risks and build automated tooling to evaluate SaaS vendor security postures.</li>\n</ul>\n<p><strong>Strategic Leadership &amp; Alignment</strong></p>\n<ul>\n<li>Partner closely with Platform, Engineering, Product, and Infrastructure leaders to embed security architecture into long-term product roadmaps.</li>\n<li>Author technical whitepapers, architectural blueprints, and customer-facing trust documentation highlighting Lambda&#39;s platform security and data protection posture.</li>\n<li>Mentor senior engineering talent across the organization on secure design principles, platform security patterns, and threat modeling.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>10+ years of total engineering experience with 5+ years specializing in security architecture, platform security, or data protection at cloud/infrastructure scale.</li>\n<li>Deep expertise in data security concepts including encryption key management (KMS/HSM), cryptographic protocols, DLP, and confidential computing primitives.</li>\n<li>Proven track record of designing multi-tenant platform security architecture across heterogeneous infrastructure (bare-metal GPU clusters, hypervisors, KVM, Kubernetes, and public cloud).</li>\n<li>Strong technical skills in prototyping security designs and reference code in Python, Go, or similar languages.</li>\n<li>Demonstrated experience with threat modeling methodologies (STRIDE, PASTA, etc.) and security design reviews for high-consequence systems.</li>\n<li>Strong communication and stakeholder management skills, with a track record of partnering effectively with IT, Legal, and HR.</li>\n<li>Ability to balance robust enterprise security controls with employee experience and productivity.</li>\n<li>Thrives in fast-moving, high-growth startup environments where building scalable structure is required.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Excitement about leveraging direct access to state-of-the-art LLMs to revolutionize enterprise security.</li>\n<li>Experience building enterprise security and IAM programs at high-growth tech companies or cloud providers.</li>\n<li>Familiarity with compliance frameworks (SOC 2, ISO 27001, FedRAMP, HIPAA) and audit preparation.</li>\n<li>Experience implementing Infrastructure as Code (Terraform) for managing enterprise identity and SaaS configurations.</li>\n<li>Deep technical background allowing hands-on contribution when needed.</li>\n<li>Experience with both build and buy decisions for security tooling.</li>\n<li>Experience driving or providing significant evidence for compliance audits.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation.</li>\n<li>Health, dental, and vision coverage for you and your dependents.</li>\n<li>Wellness and commuter stipends for select roles.</li>\n<li>401k Plan with 2% company match (USA employees).</li>\n<li>Flexible paid time off plan.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/de01a9eb-184f-445e-a9f2-94849f860b7f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/de01a9eb-184f-445e-a9f2-94849f860b7f","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$314K - $465K","x-skills-required":["data protection","platform security","encryption key management (KMS/HSM)","cryptographic protocols","DLP","confidential computing","Python","Go","threat modeling","security architecture"],"x-skills-preferred":["compliance frameworks (SOC 2, ISO 27001, FedRAMP, HIPAA)","Infrastructure as Code (Terraform)","enterprise security and IAM programs"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-08T16:23:19.231Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington"}},"employmentType":"FULL_TIME","occupationalCategory":"Security","industry":"Technology","skills":"data protection, platform security, encryption key management (KMS/HSM), cryptographic protocols, DLP, confidential computing, Python, Go, threat modeling, security architecture, compliance frameworks (SOC 2, ISO 27001, FedRAMP, HIPAA), Infrastructure as Code (Terraform), enterprise security and IAM programs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":314000,"maxValue":465000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8f374341-753"},"title":"Senior Security Engineer - Enterprise Security","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>As a Senior Security Engineer on Enterprise Security, you&#39;ll secure Lambda as a business with people who use computers: the identities, devices, SaaS, and AI tools our employees and contractors use every day. Reporting to the Senior Manager of Security, you&#39;ll own security outcomes across the corporate environment, including systems other teams run, and solve the problems you find directly by building the controls, automation, and integrations that fix them.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Make the safe way to use AI tools and agents the easy way, with approved tools, connectors, and agent environments.</li>\n<li>Make sure humans, agents, and integrations move sensitive data only along reviewed paths, following Lambda&#39;s data protection strategy.</li>\n<li>Build the automation and proof that access in every app changes when someone&#39;s job changes and ends when they leave.</li>\n<li>Decide what a person, device, contractor, or agent must prove before reaching company systems, then engineer the checks and access paths that enforce it.</li>\n<li>Keep every corporate device hardened, monitored, and patched, building on the MDM and EDR platforms IT runs.</li>\n<li>Continuously find unmanaged SaaS, risky configuration, and sensitive data shared beyond where it belongs, and drive each finding to a fix.</li>\n<li>Turn contested trade-offs, such as when a managed device is required, into clear rules with a defined path for exceptions.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of demonstrated security engineering in enterprise or corporate security, with controls employees kept using rather than routing around.</li>\n<li>A track record of independently owning security work end to end, making sound calls on your own and knowing when to escalate.</li>\n<li>Thrives in high-speed, high-ambiguity startup environments where priorities shift regularly and structure must be built while executing.</li>\n<li>Builds security employees can trust: transparent about what is monitored and why, respectful of their privacy, and enlisting people to fix problems rather than locking them out.</li>\n<li>Hands-on depth in workforce identity: identity providers and SSO (e.g., Okta, Entra ID), federation and provisioning standards (SAML, OIDC, SCIM), MFA, and privileged access.</li>\n<li>Practical experience securing corporate SaaS, managed endpoints (MDM, EDR), and network access built on zero trust principles.</li>\n<li>Ships high-quality automation in Python, Go, or similar, including security work done with LLMs or agents that wasn&#39;t practical by hand.</li>\n<li>Practical understanding of how people use AI assistants and agents at work, and where they create data and access risk.</li>\n<li>Translates security trade-offs into terms IT, HR, Legal, and employees act on, earning adoption with and without authority.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience securing contractor or personal-device access without managing the device.</li>\n<li>Experience controlling where data flows in AI-heavy or SaaS-heavy environments, through data perimeter, DLP, or similar controls.</li>\n<li>Experience isolating developer or agent workloads.</li>\n<li>Experience managing identity, SaaS, or endpoint configuration as code (e.g., Terraform).</li>\n<li>Experience supporting SOC 2, ISO 27001, or FedRAMP audits with evidence from corporate controls.</li>\n<li>Enterprise security experience at a high-growth tech company or cloud provider.</li>\n<li>Curiosity about how securing a workforce changes when much of its work is done by AI agents, and excitement to help work that out.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/8d2158d9-9785-4a2a-87ea-5690ff0cabe5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/8d2158d9-9785-4a2a-87ea-5690ff0cabe5","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$266K - $395K","x-skills-required":["Python","Go","Okta","Entra ID","SAML","OIDC","SCIM","MFA","MDM","EDR","Terraform","SOC 2","ISO 27001","FedRAMP"],"x-skills-preferred":["Experience securing contractor or personal-device access without managing the device","Experience controlling where data flows in AI-heavy or SaaS-heavy environments","Experience isolating developer or agent workloads","Experience managing identity, SaaS, or endpoint configuration as code"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-24T18:23:05.092Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington"}},"employmentType":"FULL_TIME","occupationalCategory":"Security","industry":"Technology","skills":"Python, Go, Okta, Entra ID, SAML, OIDC, SCIM, MFA, MDM, EDR, Terraform, SOC 2, ISO 27001, FedRAMP, Experience securing contractor or personal-device access without managing the device, Experience controlling where data flows in AI-heavy or SaaS-heavy environments, Experience isolating developer or agent workloads, Experience managing identity, SaaS, or endpoint configuration as code","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":266000,"maxValue":395000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_de28f940-d36"},"title":"Staff Product Manager - Storage & Networking","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us. Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda&#39;s designated work from home day is currently Tuesday.</p>\n<p><strong>About the Role</strong></p>\n<p>Storage and networking are what turn graphics processing units (GPUs) into a cloud. Customers come to Lambda for compute, then decide whether to stay based on where their data lives and whether the network gets it to the GPUs fast enough to keep them busy. As a product manager on the Foundational Infrastructure team, you will own a meaningful part of defining where customer data lives on Lambda and how it gets to the GPUs.</p>\n<p>On storage, the domain covers where weights, checkpoints, and datasets sit, how customers get data in and keep it current, what performance they can count on when loading a model, and how capacity is metered and priced. On networking, it covers moving that data at the throughput training and inference demand, and the tenant isolation and virtual private cloud that enterprises require before they put production on us. It also covers how customers reach Lambda from their own networks, how traffic is balanced in front of serving endpoints, what egress they control, and how bandwidth is shared without one tenant starving another.</p>\n<p>You will most likely work across both spaces rather than sit in one of them, following what customers need most at the time, alongside the other product managers on the team. Most of this is the feature set a mature cloud already has and Lambda does not have yet. A neocloud is not a hyperscaler, though, and copying that list wholesale is the wrong instinct. Part of the job is judgment about which of those capabilities matter here and which carry cost we should not pay. The other part is that AI workloads move data in patterns these primitives were never designed for, and deciding where that difference should change the product is the more interesting half.</p>\n<p>Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn&#39;t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn&#39;t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate.</p>\n<p>We hire product managers who learn new domains fast and reason rigorously from evidence. Deep storage or networking platform experience at a cloud provider is highly desired. If you have built storage or network products at a cloud provider and want range across both rather than a single lane, we&#39;d love to hear from you.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Find the Real Problem: Get close to customers, deals, escalations, and support on On-Demand GPU Instances and 1-Click Clusters, and work out what is actually blocking them on data and connectivity rather than what they asked for.</li>\n<li>Decide What Matters: Rank and sequence the work in front of you across storage and networking, and be honest about what Lambda is not doing this year and why.</li>\n<li>Write the Definition: Produce requirements, user stories, and acceptance criteria precise enough that engineering builds from them without a translation layer.</li>\n<li>Price and Package It: Decide how storage and data transfer are metered, priced, and packaged across Lambda&#39;s public and private cloud offerings, and how customers compare the options.</li>\n<li>Deliver With Engineering: Work through the build with the storage and networking teams, make the tradeoff calls that come up mid-flight, and keep scope honest against the date.</li>\n<li>Land the Launch: Set launch criteria that cover the operational readiness an infrastructure product needs, and get documentation, pricing, sales, and support in place before it goes live rather than after.</li>\n<li>Measure and Iterate: Define what success looks like before launch, then go find out whether it happened, using adoption and real workload performance rather than opinion.</li>\n<li>Make the Call Stick: Take a position on contested tradeoffs, write it down well enough that people can disagree with it precisely, and keep owning the decision after it is made.</li>\n<li>Work as a Group: Partner with the other product managers on foundational infrastructure and with the teams that own compute, orchestration, security, and commerce, so the pieces land as one product.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 7+ years of product management experience, including time on storage or networking products at a hyperscaler, neocloud, or comparable cloud provider.</li>\n<li>Have shipped infrastructure products that external customers ran production workloads on, in object, file, or block storage, or in virtual networking, load balancing, or connectivity.</li>\n<li>Have real depth in one of the two domains and enough range in the other to make decisions in it, plus the appetite to close that gap quickly.</li>\n<li>Understand how data movement and network behavior show up as performance for distributed training and large-scale inference.</li>\n<li>Have owned pricing, packaging, or metering for an infrastructure product.</li>\n<li>Can tell which parts of a hyperscaler playbook transfer to an AI cloud and which are cost without benefit.</li>\n<li>Able to define iterative plans that move an organization from the current state towards the desired outcome.</li>\n<li>Can turn ambiguous customer, technical, and commercial inputs into product definition that multiple teams execute against.</li>\n<li>Communicate plainly, write well, and make decisions easier for people who do not all share the same context.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with object storage and S3-compatible interfaces, or with parallel and shared file systems at high throughput.</li>\n<li>Experience with block storage, snapshots, or the storage path behind instance boot and recovery.</li>\n<li>Experience moving bulk data into a cloud, including resume, integrity verification, and throughput the customer can watch.</li>\n<li>Experience with virtual private cloud networking, security groups, or private connectivity back to a customer&#39;s own network.</li>\n<li>Experience with load balancing, controlled egress, or edge protection in front of production serving endpoints.</li>\n<li>Experience with high performance fabrics for distributed training, like InfiniBand, remote direct memory access, or GPUDirect.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/9f25a8b2-eded-4ed6-9810-323db94bf416","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/9f25a8b2-eded-4ed6-9810-323db94bf416","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$291K - $430K","x-skills-required":["storage","networking","product management","cloud computing","AI workloads","distributed training","large-scale inference","pricing and packaging","metering"],"x-skills-preferred":["object storage","S3-compatible interfaces","parallel and shared file systems","block storage","snapshots","virtual private cloud networking","security groups","private connectivity","load balancing","controlled egress","edge protection","high performance fabrics"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-08T17:08:05.138Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"storage, networking, product management, cloud computing, AI workloads, distributed training, large-scale inference, pricing and packaging, metering, object storage, S3-compatible interfaces, parallel and shared file systems, block storage, snapshots, virtual private cloud networking, security groups, private connectivity, load balancing, controlled egress, edge protection, high performance fabrics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":291000,"maxValue":430000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b2e79195-0b8"},"title":"Senior Software Engineer - Managed Kubernetes","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>We are seeking a Senior Software Engineer to join our Managed Kubernetes (Mk8s) team. You will play a crucial role in shaping the architecture, reliability, and automation of our Kubernetes-based infrastructure, which powers mission-critical workloads across our global platform.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, build, and maintain scalable control plane services, operators, and custom Kubernetes controllers</li>\n<li>Develop automation in Go/Python for end-to-end cluster lifecycle management , provisioning, upgrades, patching, and deletion</li>\n<li>Build GPU-aware orchestration systems, working within the platform architecture to support GPU scheduling and resource allocation</li>\n<li>Partner with the Network team on networking solutions for AI workloads: CNI integration (Cilium, Multus), high-performance fabrics (InfiniBand, RoCE), RDMA, and GPUDirect</li>\n<li>Write resilient systems that handle failure gracefully , timeouts, retries, backoff, and degraded-mode operation , across large-scale distributed environments</li>\n<li>Develop platform services for inference: model serving infrastructure, autoscaling based on inference load, and multi-model deployment patterns</li>\n<li>Build internal tools and CLIs that let ML/AI teams deploy and monitor their own inference services</li>\n<li>Support and debug production issues through on-call rotation</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>Have 6+ years of experience in software engineering, with a track record of owning significant technical scope within a team</li>\n<li>Deep understanding of Kubernetes internals: controllers, schedulers, operators, CRDs, CSI, CNI, and the extension patterns that make Kubernetes powerful</li>\n<li>Solid grasp of distributed systems fundamentals , fault tolerance, graceful degradation, and failure handling in large-scale environments</li>\n<li>Experience operating the control plane and low-level pieces of large-scale Kubernetes clusters</li>\n<li>Experience with observability at scale: Prometheus, Grafana, distributed tracing, and building actionable alerting systems</li>\n<li>Strong programming skills in Go and Python; ability to collaborate effectively on shared codebases</li>\n<li>Solid knowledge of Linux systems, networking, containers, and cloud infrastructure</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience building and operating managed Kubernetes services (GKE, EKS, AKS, or similar) or working on Kubernetes control plane components</li>\n<li>Hands-on experience with NVIDIA&#39;s GPU/networking ecosystem: GPU Operator, device plugins, DCGM, MIG, Network Operator, NCCL tuning, or similar</li>\n<li>Familiarity with HPC and traditional job schedulers (Slurm) and Kubernetes-native batch scheduling (KAI, Volcano, Kueue)</li>\n<li>Familiarity with GPU, InfiniBand, RDMA, or high-performance computing on Kubernetes</li>\n<li>Exposure to storage architecture for AI/ML workloads</li>\n<li>Past contributions to CNCF projects or Kubernetes SIGs a plus</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/c349334c-6329-4399-a034-93a68a51c925","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/c349334c-6329-4399-a034-93a68a51c925","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K - $346K","x-skills-required":["Kubernetes","Go","Python","distributed systems","GPU-accelerated computing","Cloud Native infrastructure","Linux systems","networking","containers","cloud infrastructure"],"x-skills-preferred":["managed Kubernetes services","NVIDIA's GPU/networking ecosystem","HPC","traditional job schedulers","Kubernetes-native batch scheduling","GPU","InfiniBand","RDMA","high-performance computing on Kubernetes","storage architecture for AI/ML workloads"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-24T22:52:07.522Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Go, Python, distributed systems, GPU-accelerated computing, Cloud Native infrastructure, Linux systems, networking, containers, cloud infrastructure, managed Kubernetes services, NVIDIA's GPU/networking ecosystem, HPC, traditional job schedulers, Kubernetes-native batch scheduling, GPU, InfiniBand, RDMA, high-performance computing on Kubernetes, storage architecture for AI/ML workloads","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":346000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1dbd2c2f-d2f"},"title":"Senior Software Engineer - Core Cloud Platform","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>As a Senior or Staff Software Engineer in Lambda’s Cloud Services Engineering organization, you will build and operate the distributed systems that power Lambda’s GPU cloud. Our teams own platform capabilities across compute control planes, managed Kubernetes, cloud APIs, identity and access, usage metering and billing, capacity and orchestration, reliability, and developer-facing infrastructure.</p>\n<p>You will turn large-scale GPU infrastructure into reliable, secure, customer-facing cloud services by building APIs, workflows, stateful controllers, schedulers, and operational tooling. You will be a full-cycle engineer, owning systems through design, deployment, on-call, incident follow-through, and continuous improvement.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, build, and operate services, APIs, control planes, and platform capabilities that power Lambda’s AI cloud.</li>\n<li>Solve distributed-systems problems involving state, consistency, concurrency, scheduling, failure recovery, and safe lifecycle management.</li>\n<li>Own the full engineering lifecycle: problem framing, architecture, implementation, testing, rollout, observability, on-call, and continuous improvement.</li>\n<li>Improve system availability, latency, throughput, efficiency, security, and operability as Lambda grows by orders of magnitude.</li>\n<li>Turn incidents and near misses into durable engineering improvements, including better automation, testing, guardrails, and backstops.</li>\n<li>Work across product, infrastructure, networking, storage, security, and SRE teams to resolve dependencies and deliver the right outcome for customers.</li>\n<li>Use AI-assisted development tools with judgment: accelerate exploration and implementation while independently verifying correctness, security, and maintainability.</li>\n<li>Contribute to technical standards, design and code reviews, and mentorship; at Staff level, lead cross-team architecture and raise the technical ceiling of the organization.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>7+ years of professional software engineering experience, or equivalent evidence of impact building production systems.</li>\n<li>Depth in at least one general-purpose language, primarily Go and Python.</li>\n<li>Experience designing, building, and operating backend services, distributed systems, infrastructure, or platform capabilities at meaningful scale.</li>\n<li>Practical understanding of system design, data models, APIs, failure modes, performance, and tradeoffs required to run reliable software in production.</li>\n<li>A track record of owning complex work through delivery and operation, including testing, staged rollout, monitoring, incident response, and root-cause improvement.</li>\n<li>Proven track record of aligning cross-functional partners and gaining consensus around decisions and tradeoffs.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>2+ years of experience building cloud services or platform infrastructure, or operating large-scale production systems on AWS, GCP, Azure, or comparable cloud platforms.</li>\n<li>Experience with Kubernetes, container orchestration, schedulers, controllers, or cloud control-plane systems.</li>\n<li>Depth in one or more cloud infrastructure or platform domains.</li>\n<li>Experience with infrastructure automation, durable workflow systems, event-driven architectures, or infrastructure as code.</li>\n<li>Experience designing highly available, multi-region, or rapidly scaling distributed systems.</li>\n<li>Familiarity with GPU infrastructure, HPC environments, or large-scale AI/ML training and inference workloads.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/343099e6-adec-4933-83e4-ad57d0510305","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/343099e6-adec-4933-83e4-ad57d0510305","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K - $346K","x-skills-required":["Go","Python","distributed systems","cloud infrastructure","Kubernetes"],"x-skills-preferred":["AWS","GCP","Azure","container orchestration","GPU infrastructure","HPC environments","AI/ML training and inference workloads"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-24T22:50:27.392Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Go, Python, distributed systems, cloud infrastructure, Kubernetes, AWS, GCP, Azure, container orchestration, GPU infrastructure, HPC environments, AI/ML training and inference workloads","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":346000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f4aa1e02-4e0"},"title":"Senior Workday Integration Architect","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>Business Technology at Lambda builds and scales the internal systems that power our business. We partner across the company with Finance, GTM, Engineering, and People to implement tools, automate workflows, and ensure data flows securely and accurately.</p>\n<p>We are hiring a Sr. Workday Integrations Architect to own the design, build, and operation of that integration landscape end to end, from implementation through go-live and into steady-state operations. This is a hands-on architecture role for someone who is as comfortable building a Studio integration as they are defending a design decision in front of Security, Finance, and Audit.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Integration Architecture: Define and own the target-state integration architecture for Workday: patterns, standards, naming conventions, error handling, monitoring, and reusable components.</li>\n<li>Implementation: Serve as the technical lead for integrations in our Workday implementation.</li>\n<li>Rippling Migration &amp; Data Conversion: Design and execute data extraction, transformation, and load from Rippling into Workday.</li>\n<li>Inbound Integrations: Build and maintain inbound feeds into Workday.</li>\n<li>Outbound Integrations: Build and maintain outbound feeds to benefits carriers, 401(k), tax filing, international and global payroll providers.</li>\n<li>Finance &amp; Payroll Integrations: Own payroll results, accounting journal, and GL posting integrations to NetSuite.</li>\n<li>Identity &amp; Provisioning: Partner with IT on the Workday-to-Okta lifecycle.</li>\n<li>Data Platform &amp; Reporting: Design Workday data extracts and RaaS reports that feed BigQuery and the analytics platform.</li>\n<li>Operations &amp; Reliability: Establish monitoring, alerting, retry logic, runbooks, and on-call practices for integrations.</li>\n<li>Compliance &amp; Controls: Design integrations and integration security to satisfy SOX ITGC requirements.</li>\n<li>Releases &amp; Roadmap: Stay current on Workday&#39;s semi-annual releases, assess impact on the integration footprint, run regression testing, and adopt new capabilities.</li>\n<li>Enablement &amp; Mentorship: Write the documentation, integration inventory, and data dictionaries.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Experience: 10+ years in HRIS, enterprise integration, or systems architecture, with at least 6+ years designing and building Workday integrations.</li>\n<li>Workday Integration Depth: Expert with EIB, Core Connectors, Workday Studio, Workday Web Services (SOAP and REST), RaaS and custom reports.</li>\n<li>Integration Platforms: Hands-on experience with an iPaaS or middleware platform.</li>\n<li>Payroll &amp; Benefits Integrations: Have built or supported payroll, benefits carrier, 401(k), and tax filing integrations.</li>\n<li>Data Fluency: Strong SQL and data modeling skills.</li>\n<li>Compliance &amp; Controls: Have operated in a SOX or audit-facing environment.</li>\n<li>Operating Rigor: You design for failure, test thoroughly, document what you build.</li>\n<li>Cross-functional Partnership: Comfortable translating between People, Finance, Payroll, IT, Security, and Engineering.</li>\n<li>Adaptability: Comfortable with ambiguity and velocity at a pre-IPO company.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Workday Pro certifications in Integrations, Studio, Payroll, or HCM.</li>\n<li>Experience migrating from Rippling or another all-in-one HR/payroll platform to Workday.</li>\n<li>Experience with international payroll providers.</li>\n<li>Familiarity with the rest of our stack: NetSuite, Okta, Lumos, Workato, BigQuery.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/9df88885-9d0c-4f7e-be18-1c13cd6b5493","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/9df88885-9d0c-4f7e-be18-1c13cd6b5493","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$206K - $275K","x-skills-required":["Workday Integration","HRIS","enterprise integration","systems architecture","EIB","Core Connectors","Workday Studio","Workday Web Services","RaaS","SQL","data modeling","SOX"],"x-skills-preferred":["Workday Pro certifications","international payroll providers","NetSuite","Okta","Lumos","Workato","BigQuery"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-19T22:01:55.514Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Workday Integration, HRIS, enterprise integration, systems architecture, EIB, Core Connectors, Workday Studio, Workday Web Services, RaaS, SQL, data modeling, SOX, Workday Pro certifications, international payroll providers, NetSuite, Okta, Lumos, Workato, BigQuery","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":206000,"maxValue":275000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_aa584d55-fc5"},"title":"Controller","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>We are seeking an experienced Controller to lead and scale our accounting organization during a pivotal stage of growth.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead all aspects of accounting operations, including general ledger, revenue recognition, fixed assets, and lease accounting.</li>\n<li>Oversee a timely and accurate monthly, quarterly, and annual close process across multiple entities and product lines.</li>\n<li>Lead the evolution of systems, automation, AI, and ERP optimization to improve accounting’s accuracy, efficiency, and scalability.</li>\n<li>Design, implement, and continuously strengthen internal controls and accounting policies to support SOX compliance and long-term reporting scalability.</li>\n<li>Partner closely with Legal, FP&amp;A, Operations, Supply Chain, Treasury, and other cross-functional leaders to ensure accounting implications are thoughtfully considered in strategic decisions.</li>\n<li>Establish and manage relationships with external auditors and help oversee annual audits and quarterly reviews.</li>\n<li>Build, mentor, and develop a high-performing accounting team with a culture of accountability, operational excellence, and continuous improvement.</li>\n<li>Serve as a strategic thought partner to the Chief Accounting Officer and executive leadership on accounting matters.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>15+ years of progressive accounting experience, including public accounting and senior leadership in a high-growth technology company.</li>\n<li>Experience operating in or preparing an organization for public-company standards.</li>\n<li>Deep technical expertise in US GAAP, including revenue recognition, fixed assets, leases, and complex commercial arrangements.</li>\n<li>Strong knowledge of internal controls and SOX compliance.</li>\n<li>Proven ability to build and scale accounting teams in fast-moving environments.</li>\n<li>CPA required; Big 4 background strongly preferred.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience in AI infrastructure, cloud computing, hardware, or other capital-intensive environments.</li>\n<li>Experience with multi-entity and international operations.</li>\n<li>ERP implementation or post-implementation optimization experience (NetSuite preferred).</li>\n<li>Experience partnering closely with Treasury and Capital Markets functions.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation.</li>\n<li>Health, dental, and vision coverage for you and your dependents.</li>\n<li>Wellness and commuter stipends for select roles.</li>\n<li>401k Plan with 2% company match (USA employees).</li>\n<li>Flexible paid time off plan.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/8ab19cf3-2cfc-400d-9edc-559c99293114","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/8ab19cf3-2cfc-400d-9edc-559c99293114","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$266K - $365K","x-skills-required":["US GAAP","SOX compliance","accounting operations","internal controls","CPA"],"x-skills-preferred":["AI infrastructure","cloud computing","ERP implementation","NetSuite","Treasury and Capital Markets"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":["CPA"],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-15T21:38:47.794Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"US GAAP, SOX compliance, accounting operations, internal controls, CPA, AI infrastructure, cloud computing, ERP implementation, NetSuite, Treasury and Capital Markets","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":266000,"maxValue":365000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b64278c2-c4b"},"title":"Strategic Finance Lead","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda&#39;s designated work from home day is currently Tuesday.</p>\n<p><strong>About the Role</strong></p>\n<p>Each new site, each large customer deal, and each hardware purchase is a long-term commitment of capital. Bringing one of those decisions forward is a multi-team effort across Datacenter Operations, Supply Chain, Capital Markets and Sales. Strategic Finance&#39;s job is to make sure the capital we commit earns the best return it can.</p>\n<p>We are hiring a Strategic Finance Lead to own the finance view in that process. You will work alongside the VP of Strategic Finance and be the finance partner to the people who find sites, buy hardware, raise capital and sign customers.</p>\n<p>Depending on where the business needs you, the same work extends to our unit economics and to how we price our public cloud.</p>\n<p>The job is less about producing a model and more about making sure the right questions get asked, the trade-offs are laid out plainly, and leadership can see what they are choosing between before they choose.</p>\n<p>Two things matter most in this role. First, you have to be very good at working with people who are not in finance. You will spend most of your time with engineers, operators, buyers and deal makers, and your influence depends on them wanting you in the conversation.</p>\n<p>Second, you have to think in systems. We are growing fast, and the way we evaluate projects has to scale with us: consistent enough to compare one site to another, detailed enough to drill into when something looks off, and simple enough to summarize for a CEO in a page.</p>\n<p>This is a senior individual contributor role. You will own your work end to end and set the standard for how Strategic Finance work is done.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Own the finance view of our project and deal decisions. From early screening through final approval, make sure every site, deal and major purchase is assessed with the same rigor, and that returns, risks and assumptions are visible to the people deciding.</li>\n<li>Create alignment across the company. Reach out to Datacenter Operations, Supply Chain, Capital Markets and Sales to agree on assumptions and on how a decision should be framed, early enough that finance rigor speeds the decision up rather than slowing it down.</li>\n<li>Frame the trade-offs. When we are choosing between sites, between customer opportunities, or between ways to finance something, lay out the decision points clearly and make the trade-offs explicit. Help leadership see the choice, not just the recommendation.</li>\n<li>Build the system. Design and maintain the systems, templates and review cadence that let us evaluate projects consistently, audit a past decision, and zoom in or out depending on who is asking. The goal is that leadership has confidence in the numbers before we commit, and that confidence does not depend on one person.</li>\n<li>Bring it to the room. Prepare and present the finance view at our deal and investment reviews.</li>\n<li>Go where the question is. Take on adjacent problems as the business needs: own the unit economics work, be a thought partner to the Public Cloud team on pricing and packaging, and work across the broader finance team.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>8+ years in strategic finance, corporate development, investment banking, infrastructure investing or a similar role, including time inside an operating company working with non-finance teams.</li>\n<li>You have evaluated large, long-lived capital commitments and know how to explain returns and risk to a general audience.</li>\n<li>You are comfortable working with engineers and operators. You listen first and understand the business before you model it.</li>\n<li>You build frameworks and processes that outlast you, and you prefer a consistent, repeatable method to a clever one-off.</li>\n<li>You are AI-native, and have clear examples of processes you created and improved with AI tools.</li>\n<li>You write and present clearly. You can hold a point of view with senior leadership and change it when the facts change.</li>\n<li>You are comfortable with ambiguity and with being the person who creates structure where there was none.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience in datacenters, cloud infrastructure, telecom, energy or another capital-intensive industry.</li>\n<li>Experience with supply chain or capital markets decisions from the finance side.</li>\n<li>Experience with unit economics or pricing in a consumption or infrastructure business.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/09a6efc9-d047-4bbd-9e3e-39d938b5ace0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/09a6efc9-d047-4bbd-9e3e-39d938b5ace0","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$199K - $265K","x-skills-required":["strategic finance","corporate development","investment banking","infrastructure investing","AI"],"x-skills-preferred":["datacenters","cloud infrastructure","telecom","energy","supply chain","capital markets","unit economics","pricing"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-21T21:39:14.573Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"strategic finance, corporate development, investment banking, infrastructure investing, AI, datacenters, cloud infrastructure, telecom, energy, supply chain, capital markets, unit economics, pricing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":199000,"maxValue":265000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_536986af-e3e"},"title":"Staff Software Engineer - Managed Kubernetes","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>We are seeking a Staff Engineer to help develop our Managed Kubernetes platform, a foundational technical leadership role shaping the infrastructure that powers the next generation of AI training and inference at scale.</p>\n<p>As a Staff Engineer on our Orchestration team, you will collaborate to drive the technical vision for Lambda&#39;s managed orchestration services, including Managed Kubernetes, Managed Slurm on Kubernetes, and higher-level platform services for inference and AIOps.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Drive technical vision for Lambda&#39;s Managed Kubernetes bare-metal platform, including control plane scalability, multi-tenancy, cluster lifecycle management, and high availability</li>\n<li>Integrate and extend NVIDIA&#39;s open-source ecosystem: GPU Operator, Network Operator, DCGM, NCCL, and emerging projects like AICR and Topograph for topology-aware scheduling and placement</li>\n<li>Design GPU-aware orchestration systems</li>\n<li>Lead development of services that power our managed services</li>\n<li>Inform on and help with networking solutions for AI workloads: CNI integration (Cilium, Multus), high-performance fabrics (InfiniBand, RoCE), RDMA, and GPUDirect</li>\n<li>Inform and help with storage architecture requirements for AI workloads</li>\n<li>Build the foundation for Managed Slurm on Kubernetes, enabling traditional HPC workloads to run seamlessly alongside Kubernetes workload</li>\n<li>Design higher-level platform services for inference, including model serving infrastructure, autoscaling based on inference load, and multi-model deployment patterns</li>\n<li>Design self-healing systems and automation for incident response, root cause analysis, and platform resilience</li>\n<li>Lead chaos engineering efforts to validate system behavior under failure conditions at scale</li>\n<li>Establish operational excellence for a managed service: upgrade automation, security patching, and zero-downtime maintenance</li>\n</ul>\n<p><strong>Cross-Functional Infrastructure Leadership</strong></p>\n<ul>\n<li>Serve as the technical bridge between Orchestration and other infrastructure teams (Network, Storage, Security), translating platform requirements into actionable specifications</li>\n<li>Drive infrastructure-wide decisions that enable successful managed services</li>\n<li>Provide input on bare-metal provisioning, network topology, and storage systems to ensure they meet the needs of managed services</li>\n<li>Champion consistency and standardization across Lambda&#39;s infrastructure stack</li>\n<li>Work directly with customers and internal teams to understand existing deployments and chart a path to the managed platform</li>\n</ul>\n<p><strong>Technical Leadership</strong></p>\n<ul>\n<li>Set technical direction for Kubernetes services across the Orchestration team, influencing roadmap and prioritization</li>\n<li>Drive reviews and design sessions, ensuring systems are scalable, maintainable, and aligned with customer needs</li>\n<li>Mentor and grow engineers, establishing best practices for Kubernetes development, distributed systems, and Cloud Native engineering</li>\n<li>Collaborate cross-functionally with Network, Storage, Security, and Customer Success teams</li>\n<li>Engage with NVIDIA and the open-source community to stay current on GPU orchestration technologies and contribute back where appropriate</li>\n<li>Represent Lambda externally through technical blog posts, conference talks, and strategic customer engagements</li>\n<li>Shape our AIOps vision: design intelligent systems for automated capacity planning, anomaly detection, and predictive maintenance of cloud infrastructure</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>10+ years of experience in software engineering, platform engineering, or SRE, with at least 5 years focused on Kubernetes at scale</li>\n<li>Expert-level understanding of Kubernetes internals: API machinery, controllers, schedulers, operators, CRDs, CSI, CNI, and extension patterns</li>\n<li>Holistic infrastructure expertise: synthesized knowledge across compute, networking, storage, and security</li>\n<li>Strong software engineering skills in Go and Python</li>\n<li>Deep experience with GPU orchestration in Kubernetes: NVIDIA GPU Operator, device plugins, DCGM, MIG, time-slicing, and GPU-aware scheduling</li>\n<li>Proven track record of technical leadership: driving design decisions across teams, mentoring engineers, and influencing infrastructure direction</li>\n<li>Deep experience designing and operating managed services or multi-tenant platforms</li>\n<li>Strong understanding of distributed systems principles: consensus, fault tolerance, consistency models, and graceful degradation</li>\n<li>Experience with observability at scale: Prometheus, Grafana, distributed tracing, and building actionable alerting systems</li>\n<li>Solid knowledge of Linux systems and networking (L2-L7), including high-performance networking concepts (RDMA, InfiniBand, RoCE)</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash and equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/f181b886-961a-4b38-afa4-ffb71acafe9f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/f181b886-961a-4b38-afa4-ffb71acafe9f","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$314K - $465K","x-skills-required":["Kubernetes","Go","Python","GPU orchestration","NVIDIA GPU Operator","distributed systems","Cloud Native infrastructure"],"x-skills-preferred":["Experience building and operating managed Kubernetes services","Hands-on experience with NVIDIA's open-source ecosystem","Familiarity with HPC and traditional job schedulers","Background in confidential computing","Experience migrating customers or workloads from legacy/bespoke infrastructure"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-24T22:55:14.768Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Go, Python, GPU orchestration, NVIDIA GPU Operator, distributed systems, Cloud Native infrastructure, Experience building and operating managed Kubernetes services, Hands-on experience with NVIDIA's open-source ecosystem, Familiarity with HPC and traditional job schedulers, Background in confidential computing, Experience migrating customers or workloads from legacy/bespoke infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":314000,"maxValue":465000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_76eccff2-711"},"title":"Senior Treasury Analyst","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.</p>\n<p>As Senior Treasury Analyst, you&#39;ll be a key contributor on the Treasury team, with a focus on debt and covenant compliance, hedge settlement and documentation, banking relationships and account administration, and support for structured financing transactions.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Prepare recurring debt and covenant compliance reporting, including ratio tests, lender certificates, and post-closing obligation trackers.</li>\n<li>Administer debt service across Lambda&#39;s debt and lease portfolios.</li>\n<li>Settle and reconcile interest rate and power hedges.</li>\n<li>Maintain hedge documentation and regulatory trade reporting, including ISDAs, schedules, and trade confirmations.</li>\n<li>Monitor lender-required hedge coverage and track hedged versus unhedged exposure across debt and data center power load.</li>\n<li>Manage the letter of credit and deposit portfolio, including issuance, renewals, fee and utilization tracking, and cash collateral.</li>\n<li>Support the closing and ongoing administration of structured finance transactions, including payment waterfalls and transaction reporting requirements.</li>\n<li>Support intercompany funding, cross-border transactions, and monthly subsidiary loan account reviews.</li>\n<li>Prepare KYC/AML documentation for financing and insurance counterparties, and provide backup support for bank account KYC and onboarding.</li>\n<li>Build and maintain Lambda&#39;s debt forecast, including interest expense and Other Income/Expense forecasting, and provide debt inputs to Treasury&#39;s short- and long-term cash flow forecasts.</li>\n<li>Prepare materials and analysis for Treasury leadership and Capital Markets initiatives.</li>\n<li>Contribute across other Treasury workstreams as the function scales.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years of experience in treasury, corporate finance, banking or a related function; experience at a high-growth or pre-IPO technology company is a plus.</li>\n<li>Working knowledge of debt and covenant compliance, credit facility administration, debt service and interest expense forecasting, and bank account administration.</li>\n<li>Familiarity with derivatives , interest rate swaps, caps, or collars , and their settlement mechanics and supporting documentation.</li>\n<li>Strong Excel and financial modeling skills, along with the ability to build clear, organized PowerPoint presentations for internal and external stakeholders.</li>\n<li>Detail-oriented and highly organized, with the ability to manage recurring deliverables and multiple bank and counterparty relationships accurately and on time.</li>\n<li>Strong written and verbal communication skills; comfortable coordinating directly with banks, lenders, hedge counterparties, and outside counsel.</li>\n<li>Bachelor&#39;s degree in Finance, Accounting, Economics, or related field.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience with letters of credit, cash collateral, or utility and vendor deposit programs.</li>\n<li>Experience reconciling derivative settlements or working with ISDA documentation and trade confirmations.</li>\n<li>Exposure to hedge accounting (ASC 815) and partnering with Accounting on designation and documentation.</li>\n<li>Exposure to structured, project, or construction finance and the entity structures used to support them.</li>\n<li>Exposure to KYC/AML documentation for banking, financing, or insurance counterparties.</li>\n<li>Experience with ERP systems or Treasury Management Systems (TMS).</li>\n<li>Experience with intercompany funding or cross-border treasury operations.</li>\n<li>Progress toward a CTP or CFA designation.</li>\n<li>Experience with GPU, data center, or other capital-intensive infrastructure financing.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/2c7fdae0-67d4-4729-bdf6-036d9d6cea03","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/2c7fdae0-67d4-4729-bdf6-036d9d6cea03","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$109K - $145K","x-skills-required":["debt and covenant compliance","credit facility administration","debt service and interest expense forecasting","bank account administration","derivatives","Excel and financial modeling","PowerPoint presentations","written and verbal communication"],"x-skills-preferred":["letters of credit","cash collateral","utility and vendor deposit programs","derivative settlements","ISDA documentation and trade confirmations","hedge accounting","structured finance","project finance","construction finance","KYC/AML documentation","ERP systems","Treasury Management Systems","intercompany funding","cross-border treasury operations","CTP or CFA designation","GPU, data center, or other capital-intensive infrastructure financing"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-18T18:41:14.534Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"debt and covenant compliance, credit facility administration, debt service and interest expense forecasting, bank account administration, derivatives, Excel and financial modeling, PowerPoint presentations, written and verbal communication, letters of credit, cash collateral, utility and vendor deposit programs, derivative settlements, ISDA documentation and trade confirmations, hedge accounting, structured finance, project finance, construction finance, KYC/AML documentation, ERP systems, Treasury Management Systems, intercompany funding, cross-border treasury operations, CTP or CFA designation, GPU, data center, or other capital-intensive infrastructure financing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":109000,"maxValue":145000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3b877571-fbc"},"title":"Senior Tax Manager, Provision and Compliance","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>As a Senior Tax Manager, Provision and Compliance, you will lead the quarterly and annual global income tax provision under ASC 740, including current and deferred taxes, valuation allowances, uncertain tax positions, tax-rate reconciliations, journal entries and disclosures.</p>\n<p>Key responsibilities:</p>\n<ul>\n<li>Lead the tax close calendar and coordinate timely, complete data from Accounting, FP&amp;A, Consolidations and other stakeholders.</li>\n<li>Prepare and review legal-entity forecasts, annual effective tax rate analyses, cash-tax projections and interim provision updates.</li>\n<li>Direct outsourced federal, state, local and international income tax compliance.</li>\n<li>Lead recurring and special projects involving research credits, IRC Section 382 limitations, state apportionment, tax attributes and other material corporate tax matters.</li>\n<li>Manage income tax audits and notices by developing fact patterns, coordinating information requests, tracking positions and exposures, and escalating material judgments.</li>\n<li>Support the tax workstream for new foreign entities, data centers and market launches.</li>\n<li>Maintain transfer-pricing policies, intercompany agreements, supporting analyses and documentation.</li>\n<li>Build scalable tax processes, documented review controls and evidence suitable for a rapidly growing company preparing for public-company reporting and SOX expectations.</li>\n<li>Partner across Finance, Legal, Treasury, Infrastructure, Procurement and other teams so Tax is involved early in significant contracts, financings, entity changes and data-center investments.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree in accounting, finance, taxation or a related field.</li>\n<li>Eight or more years of relevant corporate tax experience, including public accounting and/or an in-house tax role in a complex multi-entity business.</li>\n<li>Strong technical knowledge of ASC 740, US GAAP tax accounting and financial-statement tax disclosures.</li>\n<li>Solid US federal corporate tax foundation and experience overseeing multi-state and international income tax compliance through external advisers.</li>\n<li>Working knowledge of international tax concepts, transfer pricing and intercompany transactions.</li>\n<li>Experience coordinating audits, technical analyses and cross-functional projects with incomplete data and competing deadlines.</li>\n<li>Strong analytical, review and project-management skills, with the judgment to distinguish routine execution from matters requiring escalation.</li>\n<li>Clear written and verbal communication skills and the ability to explain technical matters to finance and business stakeholders.</li>\n<li>High ethical standards and discretion in handling confidential and sensitive information.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience in AI infrastructure, cloud computing, data centers, hardware, leasing or another capital-intensive and internationally expanding business.</li>\n<li>Public-company reporting, IPO-readiness or SOX tax-control experience.</li>\n<li>NetSuite, tax-provision software, fixed-asset systems or other large ERP and finance-transformation experience.</li>\n<li>Master&#39;s degree in taxation.</li>\n</ul>\n<p>We offer:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/60280e57-454a-411e-b174-7eca2a64e692","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/60280e57-454a-411e-b174-7eca2a64e692","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$191K - $255K","x-skills-required":["ASC 740","US GAAP","tax accounting","financial statement tax disclosures","international tax concepts","transfer pricing","intercompany transactions","project management"],"x-skills-preferred":["AI infrastructure","cloud computing","data centers","hardware","leasing","public-company reporting","IPO-readiness","SOX tax-control experience","NetSuite","tax-provision software","fixed-asset systems","Master's degree in taxation"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":["CPA"],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-25T18:59:42.202Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"ASC 740, US GAAP, tax accounting, financial statement tax disclosures, international tax concepts, transfer pricing, intercompany transactions, project management, AI infrastructure, cloud computing, data centers, hardware, leasing, public-company reporting, IPO-readiness, SOX tax-control experience, NetSuite, tax-provision software, fixed-asset systems, Master's degree in taxation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":191000,"maxValue":255000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f8408432-226"},"title":"Data Center Operations System Engineer (Kansas City)","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our Kansas City, MO Data Center 5 days a week; shift work</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured</li>\n<li>Troubleshoot hardware and software issues in some of the world’s most advanced systems</li>\n<li>Document data center layout and network topology in DCIM software</li>\n<li>Work with supply chain &amp; manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments</li>\n<li>Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers</li>\n<li>Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved</li>\n<li>Work with RMA team to ensure faulty parts are returned and replacements are ordered</li>\n<li>Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Are familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management</li>\n<li>Are someone who pays attention to detail and has the ability to follow instructions</li>\n<li>Are action-oriented and have a strong willingness to learn</li>\n<li>Are willing to travel for bring up of new data center locations</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with troubleshooting server hardware</li>\n<li>Experience with/or knowledge of network topology</li>\n<li>Familiarity with ticketing systems like JIRA and Zendesk</li>\n<li>Experience with Linux administration</li>\n<li>Experience with working in large-scale distributed data center environments</li>\n<li>Experience with Supermicro &amp; Nvidia hardware</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/8a668aed-3028-400a-900a-89b64b7ffa4e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/8a668aed-3028-400a-900a-89b64b7ffa4e","x-work-arrangement":"onsite","x-experience-level":null,"x-job-type":"full-time","x-salary-range":"$89K - $119K","x-skills-required":["critical infrastructure systems","data centers","DCIM software","structured cabling","cable management","power distribution","air flow management","environmental monitoring","capacity planning"],"x-skills-preferred":["troubleshooting server hardware","network topology","JIRA","Zendesk","Linux administration","large-scale distributed data center environments","Supermicro","Nvidia hardware"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-21T18:07:29.320Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kansas City, Missouri"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"critical infrastructure systems, data centers, DCIM software, structured cabling, cable management, power distribution, air flow management, environmental monitoring, capacity planning, troubleshooting server hardware, network topology, JIRA, Zendesk, Linux administration, large-scale distributed data center environments, Supermicro, Nvidia hardware","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":89000,"maxValue":119000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1d8a23f8-ef7"},"title":"Senior Mechanical Controls Engineer","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>As a Senior Mechanical Controls Engineer, you will own controls standards and reference architectures for mechanical systems supporting large-scale AI data centers. You will develop control narratives, sequences of operation, points lists, alarm matrices, cause-and-effect diagrams, and controller requirements. You will define automation for central cooling plants, heat-rejection systems, pumps, heat exchangers, CRAHs, CDUs, liquid-cooling loops, valves, and associated equipment.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own controls standards and reference architectures for mechanical systems supporting large-scale AI data centers.</li>\n<li>Develop control narratives, sequences of operation, points lists, alarm matrices, cause-and-effect diagrams, and controller requirements.</li>\n<li>Define automation for central cooling plants, heat-rejection systems, pumps, heat exchangers, CRAHs, CDUs, liquid-cooling loops, valves, and associated equipment.</li>\n<li>Design system behavior for startup, shutdown, maintenance, component failure, utility loss, and recovery.</li>\n<li>Establish requirements for sensors, actuators, meters, control panels, PLCs, DDC controllers, gateways, and operator interfaces.</li>\n<li>Define BMS integration, mechanical telemetry, trending, alarming, data retention, and interfaces with other operational systems.</li>\n<li>Review partner designs, vendor submittals, control drawings, network architectures, and equipment packages for compliance with Lambda standards.</li>\n<li>Coordinate controls requirements across mechanical, electrical, network, hardware, construction, commissioning, and operations teams.</li>\n<li>Support factory testing, site acceptance testing, commissioning, integrated systems testing, and cooling-system bring-up.</li>\n<li>Troubleshoot control-loop instability, sensor errors, communication failures, nuisance alarms, and sequence deficiencies.</li>\n<li>Incorporate commissioning results and operating lessons into future designs and control standards.</li>\n<li>Travel to project sites, manufacturers, and partner facilities as needed.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Experience designing or commissioning mechanical controls for data centers, mission-critical facilities, central plants, or industrial environments.</li>\n<li>Understand chilled-water, condenser-water, heat-rejection, air-cooling, and liquid-cooling systems.</li>\n<li>Can develop and review sequences of operation, P&amp;IDs, control diagrams, wiring diagrams, points lists, and functional test procedures.</li>\n<li>Understand PLC, DDC, and BMS architectures and common protocols such as BACnet, Modbus, and OPC UA.</li>\n<li>Have experience with instrumentation, sensor selection, control loops, alarms, interlocks, and equipment safeties.</li>\n<li>Understand how mechanical systems should respond during equipment failures, power events, and changing thermal loads.</li>\n<li>Can translate operational requirements into clear, testable control behavior.</li>\n<li>Communicate effectively with engineers, programmers, vendors, commissioning teams, and facility operators.</li>\n<li>Hold a bachelor’s degree in mechanical, electrical, controls, or systems engineering, or equivalent practical experience.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience with hyperscale, colocation, HPC, or AI data centers.</li>\n<li>Experience controlling high-density liquid-cooling systems, CDUs, or warm-water cooling loops.</li>\n<li>Familiarity with platforms from Siemens, Schneider Electric, Johnson Controls, Honeywell, Rockwell, or Tridium.</li>\n<li>Experience with OT networking, controls cybersecurity, controller redundancy, or high-availability automation.</li>\n<li>Familiarity with EPMS design, electrical systems SOOs and monitoring.</li>\n<li>Experience with factory acceptance testing, integrated systems testing, and live facility bring-up.</li>\n<li>Familiarity with ASHRAE, ISA, and data center controls standards.</li>\n<li>Experience using trend data or analytics to diagnose and optimize mechanical-system performance.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/a5dbc5ea-ac15-4e2f-8882-fa52a97d283b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/a5dbc5ea-ac15-4e2f-8882-fa52a97d283b","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K - $340K","x-skills-required":["mechanical controls","data centers","mission-critical facilities","central plants","industrial environments","chilled-water systems","condenser-water systems","heat-rejection systems","air-cooling systems","liquid-cooling systems","PLC","DDC","BMS","BACnet","Modbus","OPC UA","instrumentation","sensor selection","control loops","alarms","interlocks","equipment safeties"],"x-skills-preferred":["hyperscale","colocation","HPC","AI data centers","high-density liquid-cooling systems","CDUs","warm-water cooling loops","Siemens","Schneider Electric","Johnson Controls","Honeywell","Rockwell","Tridium","OT networking","controls cybersecurity","controller redundancy","high-availability automation","EPMS design","electrical systems SOOs","monitoring","factory acceptance testing","integrated systems testing","live facility bring-up","ASHRAE","ISA","data center controls standards","trend data","analytics"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-14T17:23:16.025Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"mechanical controls, data centers, mission-critical facilities, central plants, industrial environments, chilled-water systems, condenser-water systems, heat-rejection systems, air-cooling systems, liquid-cooling systems, PLC, DDC, BMS, BACnet, Modbus, OPC UA, instrumentation, sensor selection, control loops, alarms, interlocks, equipment safeties, hyperscale, colocation, HPC, AI data centers, high-density liquid-cooling systems, CDUs, warm-water cooling loops, Siemens, Schneider Electric, Johnson Controls, Honeywell, Rockwell, Tridium, OT networking, controls cybersecurity, controller redundancy, high-availability automation, EPMS design, electrical systems SOOs, monitoring, factory acceptance testing, integrated systems testing, live facility bring-up, ASHRAE, ISA, data center controls standards, trend data, analytics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":340000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5e3f05e1-5cc"},"title":"Staff HPC Systems Architect","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Jose, San Francisco, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Architect and define scalable compute platforms optimized for AI/ML, simulation, and high-throughput workloads.</li>\n<li>Develop compute system standards and design patterns to ensure consistency, performance, and maintainability across infrastructure.</li>\n<li>Evaluate emerging CPU, GPU, and accelerator technologies, owning architectural tradeoff decisions that impact compute density, power, cooling, and total cost.</li>\n<li>Collaborate with product and engineering teams to map workload requirements to compute platform capabilities across bare metal and cloud deployments.</li>\n<li>Experience converting ambiguous business or customer needs into measurable platform requirements, technical specifications, acceptance criteria, and architecture decisions.</li>\n<li>Define compute platform roadmaps and architectural reference designs that guide hardware selection, firmware baselines, rack-level, and cluster design.</li>\n<li>Act as a technical lead during new platform introductions, guiding validation and performance characterization efforts.</li>\n<li>Mentor systems engineers and cross-functional stakeholders on compute performance tuning, sizing, and architectural decisions.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Proven experience (7+ years) architecting large-scale 10k-100k+ GPU HPC or cloud compute platforms.</li>\n<li>Deep knowledge of CPU/GPU architectures, memory hierarchies, and accelerator topologies.</li>\n<li>Experience designing systems around high-bandwidth, low-latency fabrics (NVLink, InfiniBand, and RoCE).</li>\n<li>Strong understanding of system performance tuning, resource scheduling, thermal and power optimization, and compute lifecycle management.</li>\n<li>Comfortable working across hardware and software boundaries, especially at the intersection of compute architecture, OS behavior, and orchestration layers.</li>\n<li>Skilled at balancing architectural tradeoffs for density, power efficiency, cooling, and performance.</li>\n<li>Strong analytical and communication skills, with a track record of influencing technical strategy across teams.</li>\n<li>Strong ownership and can-do attitude, self-starter who feels comfortable working in ambiguity.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Hands-on experience with AI/ML workloads and their compute performance characteristics.</li>\n<li>Familiarity with orchestration tools used in HPC (Slurm, Kubernetes, etc).</li>\n<li>Experience with virtualization technologies, specifically GPU virtualization.</li>\n<li>Exposure to hardware validation, vendor collaboration, and long-term OEM roadmap alignment.</li>\n<li>Background in compute telemetry, real-time performance profiling, or large-scale A/B infrastructure testing.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/614dc105-61e2-4f78-827f-05f145211125","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/614dc105-61e2-4f78-827f-05f145211125","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$314K - $465K","x-skills-required":["CPU/GPU architectures","memory hierarchies","accelerator topologies","high-bandwidth fabrics","low-latency fabrics","system performance tuning","resource scheduling","thermal optimization","power optimization","compute lifecycle management"],"x-skills-preferred":["AI/ML workloads","orchestration tools","virtualization technologies","GPU virtualization","hardware validation","vendor collaboration","long-term OEM roadmap alignment","compute telemetry","real-time performance profiling","large-scale A/B infrastructure testing"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-14T19:50:17.198Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"CPU/GPU architectures, memory hierarchies, accelerator topologies, high-bandwidth fabrics, low-latency fabrics, system performance tuning, resource scheduling, thermal optimization, power optimization, compute lifecycle management, AI/ML workloads, orchestration tools, virtualization technologies, GPU virtualization, hardware validation, vendor collaboration, long-term OEM roadmap alignment, compute telemetry, real-time performance profiling, large-scale A/B infrastructure testing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":314000,"maxValue":465000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d218d9b4-64b"},"title":"Data Center Manager (Dallas)","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>We are looking for a Data Center Manager to oversee our data center operations in Dallas, Texas.</p>\n<p><strong>Job Summary</strong> Manage and lead a team of data center technicians to maintain high availability, reliability, and security in the data center environment. Ensure new server, storage, and network infrastructure is properly racked, labeled, cabled, and configured. Troubleshoot hardware and software issues in some of the world’s most advanced systems. Document data center layout and network topology in DCIM software. Work with supply chain &amp; manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments. Assess current and future state data center requirements based on growth plans and technology trends. Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers. Create installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers. Oversee deployments and day-to-day operations of the data center. Maintain uptime for assets and infrastructure, and ensure customer SLAs are met. Participate in technical discussions and provide expertise on data center integration and deployment strategies. Understand power/cooling requirements as well as cabling needs required within data center space to support high-performance infrastructures. Work closely with cross-functional teams, including Hardware Engineering, Software Engineering, Supply Chain, Customer Experience, and Sales, to align data center solutions with business goals. Ensure the data center complies with Lambda’s standards and policies.</p>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management</li>\n<li>Basic understanding of Linux administration</li>\n<li>Experience in setting up networking appliances (Ethernet and InfiniBand) across multiple data center locations</li>\n<li>Attention to detail and ability to follow instructions</li>\n<li>Action-oriented with a strong willingness to learn</li>\n<li>Desire to mentor other team members and help them reach their full potential</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with troubleshooting and theoretical knowledge of network layers, technologies, and system protocols: TCP/IP, OSPF, SNMP, SSL, HTTP, FTP, SSH, Syslog, DHCP, DNS, RDP, NETBIOS, IP routing, Ethernet, switched Ethernet, 802.11x, NFS, and VLANs</li>\n<li>Experience working in large-scale distributed data center environments</li>\n<li>Experience working with auditors to meet all compliance requirements (ISO/SOC)</li>\n<li>Experience with Supermicro &amp; Nvidia hardware</li>\n<li>Previous data center team management experience</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/07212d5b-7406-46ef-acc9-af936dc20c8d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/07212d5b-7406-46ef-acc9-af936dc20c8d","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$137K - $183K","x-skills-required":["Linux administration","networking appliances","data center infrastructure","DCIM software"],"x-skills-preferred":["TCP/IP","OSPF","SNMP","SSL","HTTP","FTP","SSH","Syslog","DHCP","DNS","RDP","NETBIOS","IP routing","Ethernet","switched Ethernet","802.11x","NFS","VLANs","Supermicro","Nvidia hardware"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-14T23:23:12.083Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas, Texas"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"Linux administration, networking appliances, data center infrastructure, DCIM software, TCP/IP, OSPF, SNMP, SSL, HTTP, FTP, SSH, Syslog, DHCP, DNS, RDP, NETBIOS, IP routing, Ethernet, switched Ethernet, 802.11x, NFS, VLANs, Supermicro, Nvidia hardware","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":137000,"maxValue":183000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ef056893-439"},"title":"Staff Mechanical Engineer - Data Center Cooling","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p><strong>Job Description:</strong></p>\n<p>*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own cooling-system standards and reference architectures for large-scale AI data centers.</li>\n<li>Design the complete thermal path from GPU and rack heat capture through facility distribution and final heat rejection.</li>\n<li>Translate server, rack, and cluster requirements into coolant temperature, flow, pressure, water-quality, and facility-capacity requirements.</li>\n<li>Develop air-cooled, liquid-cooled, and hybrid cooling architectures for greenfield, retrofit, and partner-operated facilities.</li>\n<li>Design central plants, technology cooling-water loops, CDUs, heat exchangers, pumps, piping, chillers, cooling towers, dry coolers, and adiabatic systems.</li>\n<li>Perform thermal, hydraulic, pressure-drop, heat-transfer, psychrometric, and equipment-capacity calculations.</li>\n<li>Evaluate system performance across site climate conditions, compute-load changes, equipment failures, and maintenance scenarios.</li>\n<li>Develop and review P&amp;IDs, equipment schedules, layouts, specifications, sequence of operation, and basis-of-design documents.</li>\n<li>Define requirements for redundancy, thermal ride-through, failure isolation, maintainability, efficiency, and water consumption.</li>\n<li>Establish requirements for coolant chemistry, materials compatibility, filtration, flushing, cleanliness, leak detection, and fluid management.</li>\n<li>Review partner designs, vendor submittals, equipment selections, and construction documents for compliance with Lambda standards.</li>\n<li>Coordinate cooling interfaces across hardware engineering, electrical engineering, controls, construction, commissioning, and operations.</li>\n<li>Support equipment testing, construction sequencing, commissioning, cooling-system bring-up, and initial GPU loading.</li>\n<li>Investigate thermal events and cooling failures, incorporating lessons into future designs and operating standards.</li>\n<li>Travel to project sites, manufacturers, and partner facilities as needed.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Have experience designing cooling systems for data centers, mission-critical facilities, central plants, or large industrial environments.</li>\n<li>Understand hydronic design, heat transfer, pumping, heat exchangers, chilled-water systems, and heat-rejection equipment.</li>\n<li>Have experience with direct-to-chip liquid cooling, CDUs, technology cooling-water loops, or other high-density cooling systems.</li>\n<li>Can develop and review P&amp;IDs, equipment specifications, mechanical layouts, and engineering calculations.</li>\n<li>Can model system capacity, flow, pressure loss, temperature approach, and performance across varying operating conditions.</li>\n<li>Understand cooling-system redundancy, failure domains, thermal ride-through, maintainability, and operational risk.</li>\n<li>Understand the relationship between GPU behavior, rack density, coolant conditions, and facility cooling capacity.</li>\n<li>Can balance reliability, efficiency, water consumption, equipment cost, and delivery schedule.</li>\n<li>Communicate clearly across engineering, construction, operations, equipment vendors, and executive stakeholders.</li>\n<li>Hold a bachelor’s degree in mechanical engineering or equivalent practical experience.</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience designing cooling for hyperscale, colocation, HPC, or AI data centers.</li>\n<li>Experience supporting multi-megawatt liquid-cooled GPU deployments.</li>\n<li>Experience with warm-water cooling, water-side economization, dry coolers, or adiabatic heat rejection.</li>\n<li>Familiarity with CFD, Pipe-Flo, AFT Fathom, Revit, or comparable engineering tools.</li>\n<li>Knowledge of coolant chemistry, glycol systems, corrosion control, filtration, and wetted-material compatibility.</li>\n<li>Familiarity with ASHRAE TC 9.9 guidance and liquid-cooling industry standards.</li>\n<li>Experience with factory testing, commissioning, integrated systems testing, or live system bring-up.</li>\n<li>Professional Engineer licensure or progress toward licensure.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/11fe10ba-50b3-48ac-b650-041d1c9eda39","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/11fe10ba-50b3-48ac-b650-041d1c9eda39","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$349K - $465K","x-skills-required":["mechanical engineering","cooling systems design","hydronic design","heat transfer","pumping","heat exchangers","chilled-water systems","heat-rejection equipment","direct-to-chip liquid cooling","CDUs","technology cooling-water loops","P&IDs","equipment specifications","mechanical layouts","engineering calculations"],"x-skills-preferred":["hyperscale data centers","colocation data centers","HPC data centers","AI data centers","warm-water cooling","water-side economization","dry coolers","adiabatic heat rejection","CFD","Pipe-Flo","AFT Fathom","Revit","coolant chemistry","glycol systems","corrosion control","filtration","wetted-material compatibility","ASHRAE TC 9.9 guidance","liquid-cooling industry standards","factory testing","commissioning","integrated systems testing","live system bring-up","Professional Engineer licensure"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-11T19:52:03.448Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"mechanical engineering, cooling systems design, hydronic design, heat transfer, pumping, heat exchangers, chilled-water systems, heat-rejection equipment, direct-to-chip liquid cooling, CDUs, technology cooling-water loops, P&IDs, equipment specifications, mechanical layouts, engineering calculations, hyperscale data centers, colocation data centers, HPC data centers, AI data centers, warm-water cooling, water-side economization, dry coolers, adiabatic heat rejection, CFD, Pipe-Flo, AFT Fathom, Revit, coolant chemistry, glycol systems, corrosion control, filtration, wetted-material compatibility, ASHRAE TC 9.9 guidance, liquid-cooling industry standards, factory testing, commissioning, integrated systems testing, live system bring-up, Professional Engineer licensure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":349000,"maxValue":465000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_052f8468-d7c"},"title":"Staff Electrical Engineer - Low Voltage","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p><strong>Job Summary</strong> This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own electrical design standards and reference architectures for low-voltage systems supporting high-density AI infrastructure.</li>\n<li>Lead design from transformer secondary through switchgear, UPS systems, distribution equipment, busway, and rack-level power delivery.</li>\n<li>Develop architectures for 480V and 415V, AC systems serving GPU clusters and supporting infrastructure.</li>\n<li>Define requirements for low-voltage switchgear, switchboards, UPS systems, static transfer switches, PDUs, RPPs, busway, rack PDUs, grounding, metering, and monitoring.</li>\n<li>Model equipment loads, GPU power behavior, transient demand, harmonics, redundancy, capacity, and electrical failure domains.</li>\n<li>Develop and review single-line diagrams, panel schedules, equipment specifications, sequences of operation, and basis-of-design documents.</li>\n<li>Evaluate greenfield, retrofit, and partner-provided designs for reliability, efficiency, maintainability, constructability, cost, and schedule.</li>\n<li>Perform or oversee load-flow, short-circuit, selective-coordination, arc-flash, voltage-drop, and power-quality studies.</li>\n<li>Coordinate electrical requirements across data center facilities, mechanical systems, HPC architecture, hardware engineering, construction, and operations.</li>\n<li>Support equipment selection, factory testing, construction sequencing, commissioning, integrated systems testing, and root-cause investigations.</li>\n<li>Travel to project sites, manufacturers, and partner facilities as needed.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have experience designing low-voltage electrical systems for data centers, mission-critical facilities, or large industrial environments.</li>\n<li>Understand low-voltage distribution, UPS topologies, switchgear, busway, grounding, rack-level distribution, and electrical monitoring.</li>\n<li>Understand redundancy models such as N, N+1, 2N, distributed redundant, and catcher architectures.</li>\n<li>Can develop and review single-line diagrams, equipment specifications, coordination studies, and commissioning documentation.</li>\n<li>Have experience with ETAP, SKM, EasyPower, or comparable electrical analysis software.</li>\n<li>Understand applicable electrical and safety requirements, including NEC, NFPA 70E, IEEE, and NETA standards.</li>\n<li>Can translate IT equipment requirements into safe, scalable, and maintainable facility designs.</li>\n<li>Communicate clearly across engineering, construction, operations, vendors, and executive stakeholders.</li>\n<li>Hold a bachelor’s degree in electrical engineering or equivalent practical experience.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with hyperscale, colocation, HPC, or AI data centers.</li>\n<li>Experience delivering power to high-density GPU racks or liquid-cooled computing infrastructure.</li>\n<li>Familiarity with dynamic GPU loads, power transients, harmonics, rack-level monitoring, or power-capacity optimization.</li>\n<li>Experience supporting factory acceptance testing, commissioning, integrated systems testing, or failure investigations.</li>\n<li>Experience in Low Voltage (400, 800V DC) Converters, distribution and protection devices.</li>\n<li>Experience with PSCAD, other EMT simulation tools or System Stability Analysis.</li>\n<li>Professional Engineer licensure or progress toward licensure.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/0cc4d465-8a4d-4b62-901b-9c2996da1d0d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/0cc4d465-8a4d-4b62-901b-9c2996da1d0d","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$349K - $465K","x-skills-required":["low-voltage electrical systems","data centers","UPS topologies","switchgear","busway","grounding","rack-level distribution","electrical monitoring","ETAP","SKM","EasyPower","NEC","NFPA 70E","IEEE","NETA standards"],"x-skills-preferred":["hyperscale","colocation","HPC","AI data centers","GPU racks","liquid-cooled computing infrastructure","dynamic GPU loads","power transients","harmonics","rack-level monitoring","power-capacity optimization","Low Voltage (400, 800V DC) Converters","PSCAD","EMT simulation tools","System Stability Analysis"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-13T20:57:20.128Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"low-voltage electrical systems, data centers, UPS topologies, switchgear, busway, grounding, rack-level distribution, electrical monitoring, ETAP, SKM, EasyPower, NEC, NFPA 70E, IEEE, NETA standards, hyperscale, colocation, HPC, AI data centers, GPU racks, liquid-cooled computing infrastructure, dynamic GPU loads, power transients, harmonics, rack-level monitoring, power-capacity optimization, Low Voltage (400, 800V DC) Converters, PSCAD, EMT simulation tools, System Stability Analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":349000,"maxValue":465000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4420b55d-3f3"},"title":"Staff Electrical Engineer - Medium Voltage","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>You will own electrical design standards and reference architectures for medium-voltage systems supporting large-scale AI data centers. You will lead design from utility interconnection through campus distribution and medium-voltage-to-low-voltage transformation. Your responsibilities include:</p>\n<ul>\n<li>Developing and reviewing single-line diagrams, equipment specifications, protection schemes, sequences of operation, and basis-of-design documents</li>\n<li>Evaluating greenfield, retrofit, and partner-provided designs for capacity, reliability, maintainability, cost, and schedule</li>\n<li>Performing or overseeing load-flow, short-circuit, protective-device coordination, grounding, arc-flash, and power-quality studies</li>\n<li>Defining requirements for substations, transformers, medium-voltage switchgear, protective relays, generators, and associated control systems</li>\n<li>Working with utilities, engineering partners, equipment manufacturers, construction teams, commissioning agents, and data center operators</li>\n<li>Supporting equipment selection, long-lead procurement, factory testing, construction sequencing, commissioning, and integrated systems testing</li>\n<li>Investigating electrical failures and operational risks, driving corrective actions back into Lambda&#39;s standards and future designs</li>\n<li>Traveling to project sites, manufacturers, and partner facilities as needed</li>\n</ul>\n<p>You have experience designing medium-voltage electrical systems for data centers, mission-critical facilities, utilities, or large industrial campuses. You understand medium-voltage distribution, transformers, switchgear, generators, grounding, protection, and control systems. You can develop and review single-line diagrams, technical specifications, relay philosophies, and electrical study reports. You have experience with ETAP, SKM, EasyPower, or comparable electrical analysis software. You understand applicable electrical and safety requirements, including NEC, NFPA 70E, IEEE, NETA, and utility standards. You can balance reliability, capacity, maintainability, constructability, cost, and delivery schedule. You communicate clearly across engineering, construction, operations, vendors, and executive stakeholders. You hold a bachelor&#39;s degree in electrical engineering or equivalent practical experience.</p>\n<p>Nice to have experience designing hyperscale, colocation, HPC, or AI data center campuses. Experience with utility interconnection, large campus substations, or behind-the-meter generation is also desirable.</p>\n<p>We offer generous cash &amp; equity compensation, health, dental, and vision coverage for you and your dependents, wellness and commuter stipends for select roles, 401k Plan with 2% company match (USA employees), and flexible paid time off plan.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/9d48c085-31e0-48f8-9357-80d3e4f2b504","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/9d48c085-31e0-48f8-9357-80d3e4f2b504","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$349K - $465K","x-skills-required":["medium-voltage electrical systems","ETAP","SKM","EasyPower","electrical analysis software","NEC","NFPA 70E","IEEE","NETA","utility standards"],"x-skills-preferred":["hyperscale data center campuses","utility interconnection","large campus substations","behind-the-meter generation","protective-relay settings","generator paralleling","microgrids","medium-voltage automation"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-13T20:58:07.502Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"medium-voltage electrical systems, ETAP, SKM, EasyPower, electrical analysis software, NEC, NFPA 70E, IEEE, NETA, utility standards, hyperscale data center campuses, utility interconnection, large campus substations, behind-the-meter generation, protective-relay settings, generator paralleling, microgrids, medium-voltage automation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":349000,"maxValue":465000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_21947bd0-9a4"},"title":"Data Center Operations Engineer (Austin)","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p><strong>Job Details</strong></p>\n<ul>\n<li>Note: This position requires presence in our Austin, TX Data Center 5 days; shift work</li>\n</ul>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured</li>\n<li>Troubleshoot hardware and software issues in some of the world’s most advanced systems</li>\n<li>Document data center layout and network topology in DCIM software</li>\n<li>Work with supply chain &amp; manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments</li>\n<li>Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers</li>\n<li>Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved</li>\n<li>Work with RMA team to ensure faulty parts are returned and replacements are ordered</li>\n<li>Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Are familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management</li>\n<li>Are someone who pays attention to detail and has the ability to follow instructions</li>\n<li>Are action-oriented and have a strong willingness to learn</li>\n<li>Are willing to travel for bring up of new data center locations</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with troubleshooting server hardware</li>\n<li>Experience with/or knowledge of network topology</li>\n<li>Familiarity with ticketing systems like JIRA and Zendesk</li>\n<li>Experience with Linux administration</li>\n<li>Experience with working in large-scale distributed data center environments</li>\n<li>Experience with Supermicro &amp; Nvidia hardware</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/a06bbf3e-e148-4396-be41-efe3d5c82d5c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/a06bbf3e-e148-4396-be41-efe3d5c82d5c","x-work-arrangement":"onsite","x-experience-level":null,"x-job-type":"full-time","x-salary-range":"$89K - $119K","x-skills-required":["critical infrastructure systems","data center operations","DCIM software","network topology","troubleshooting"],"x-skills-preferred":["server hardware troubleshooting","JIRA","Zendesk","Linux administration","Supermicro","Nvidia hardware"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-08T21:21:13.569Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Round Rock, Texas"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"critical infrastructure systems, data center operations, DCIM software, network topology, troubleshooting, server hardware troubleshooting, JIRA, Zendesk, Linux administration, Supermicro, Nvidia hardware","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":89000,"maxValue":119000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dfd86232-d45"},"title":"Data Center Construction Site Foreman (Reno)","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>As a Construction Onsite Foreman, you are Lambda’s eyes, ears, and hands in the field. You will hold daily on-site command of colocation white space fit-outs, high-density compute expansions, and infrastructure upgrades, working under the Data Center Implementation Manager and alongside the Data Center Implementation Project Manager to turn drawings and schedules into installed, energized, and accepted capacity.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Daily Field Supervision: Serve as Lambda’s on-site lead for assigned data center projects. Direct daily activity across MEP contractors, low voltage and network installers, rack and integration crews, and OEM field service teams.</li>\n<li>Fit-Out &amp; Installation Oversight: Oversee physical execution of white space fit-out work including rack and cabinet setting, containment, busway and branch circuit distribution, rPDU installation, cable tray, structured cabling, liquid cooling and CDU tie-ins, and airflow management.</li>\n<li>Safety Leadership: Enforce site safety requirements, energized work permits, LOTO procedures, hot work permits, and PPE compliance.</li>\n<li>Quality Control &amp; Inspections: Perform in-progress and pre-cover inspections, torque and terminations checks, labeling verification, and workmanship reviews.</li>\n<li>Trade &amp; Vendor Coordination: Deconflict overlapping trade work, sequence access to shared space and shafts, and coordinate outage and switching windows with the data center provider.</li>\n<li>OFCI Material Management: Receive, inspect, stage, and secure OFCI (Owner-Furnished, Contractor-Installed) equipment.</li>\n<li>Schedule Support &amp; Lookaheads: Own the three-week lookahead in the field. Track daily progress against the construction schedule, flag manpower and material gaps early, and provide the Implementation Project Manager with accurate percent-complete and constraint data.</li>\n<li>Field Documentation &amp; Reporting: Produce daily field reports covering manpower counts, work completed, deliveries, delays, safety observations, and photo documentation.</li>\n<li>Issue Resolution &amp; Escalation: Resolve constructability conflicts and field questions at the site level where possible.</li>\n<li>Commissioning &amp; Turnover Support: Support pre-functional checks, Level 1 through Level 4 commissioning activities, and integrated systems testing.</li>\n<li>Cross-functional Alignment: Work closely with Network Engineering, Data Center Operations, HPC, Supply Chain, and Technical Project Management so that deployment, cabling, and hardware install activities land in the right sequence and space is turned over ready for GPU deployment.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Hands-On Data Center or Mission-Critical Field Experience: Proven record supervising construction, fit-out, or infrastructure installation work in data centers or comparable mission-critical facilities.</li>\n<li>Crew &amp; Trade Supervision: Demonstrated ability to direct and sequence multiple trades and vendors on a live site, holding daily accountability for scope, pace, and workmanship.</li>\n<li>MEP &amp; Low Voltage Installation Knowledge: Practical command of electrical distribution, mechanical and cooling systems, containment, and structured cabling, with the ability to read drawings and catch field conflicts.</li>\n<li>Safety Ownership: Consistent enforcement of site safety, LOTO, energized work, and permitting requirements, with the authority and willingness to stop unsafe work.</li>\n<li>Field Documentation &amp; Reporting Discipline: Reliable daily reporting, photo documentation, redlines, punch list management, and clear escalation to project management.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>High school diploma or equivalent required. Completed trade apprenticeship, journeyman license, technical certification, or associate degree in a construction or engineering discipline strongly preferred.</li>\n<li>5+ years of construction field experience, including 2+ years in a foreman, lead, or superintendent capacity.</li>\n<li>Direct experience with data center white space fit-out, critical facility construction, or comparable industrial and mission-critical installation work.</li>\n<li>Working knowledge of electrical, mechanical, and low voltage systems and installation practices, including power distribution, cooling, containment, and cabling.</li>\n<li>Ability to read and interpret construction drawings, specifications, submittals, and installation instructions, and to produce accurate redlines.</li>\n<li>OSHA 30 certification required or obtained within 90 days of hire. NFPA 70E familiarity preferred. First Aid and CPR certification a plus.</li>\n<li>Familiarity with commissioning processes, pre-functional checklists, and punch list closeout.</li>\n<li>Comfortable with field reporting tools and project platforms (e.g., Procore, Smartsheet, MS Project, Monday.com) and with mobile photo documentation.</li>\n<li>Able to lift, climb, work at height, and remain on foot in active construction environments for extended periods.</li>\n<li>Willingness to travel to and work within active construction sites (~75%), including off-hours and weekend work during critical activities.</li>\n<li>Committed to safety, quality, and continuous improvement in field execution practices.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/938d8192-b8e3-432f-b0cb-924755a0ce4d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/938d8192-b8e3-432f-b0cb-924755a0ce4d","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$188K - $250K","x-skills-required":["construction","data center","electrical","mechanical","low voltage","safety management","project management"],"x-skills-preferred":["OSHA 30","NFPA 70E","First Aid","CPR","Procore","Smartsheet","MS Project","Monday.com"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-23T19:28:46.300Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Reno, Nevada"}},"employmentType":"FULL_TIME","occupationalCategory":"Facilities & Maintenance","industry":"Technology","skills":"construction, data center, electrical, mechanical, low voltage, safety management, project management, OSHA 30, NFPA 70E, First Aid, CPR, Procore, Smartsheet, MS Project, Monday.com","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":188000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9e753de7-5d8"},"title":"Staff HPC Network Architect","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Jose, San Francisco, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Architect high-performance networking solutions that power cloud platforms, with a focus on ultra-low-latency and high-bandwidth connectivity.</li>\n<li>Define the network topology and architectural patterns for large-scale GPU clusters, storage backends, and multi-tenant environments.</li>\n<li>Evaluate, benchmark, and select next-generation network technologies (e.g., InfiniBand NDR/XDR, RoCE, 400G-1.6T Ethernet, Ultra Ethernet, ESUN, OCI, etc.) to meet AI workload requirements.</li>\n<li>Develop and maintain network architecture standards, reference designs, and scalability roadmaps for multi-site and hybrid environments.</li>\n<li>Partner with compute and storage architects to ensure seamless end-to-end data flow and fault tolerance.</li>\n<li>Guide network automation strategies and tooling to enable efficient provisioning, telemetry, and operational visibility.</li>\n<li>Mentor engineers and cross-functional teams on advanced network concepts, troubleshooting, and architectural best practices.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Proven experience (7+ years) architecting high-performance data center networks, preferably for HPC, AI/ML, or large-scale cloud infrastructure.</li>\n<li>Deep expertise with InfiniBand (HDR/NDR) and advanced Ethernet fabrics, including RoCE and RDMA protocols.</li>\n<li>Strong understanding of data center switching architectures, congestion control (PFC, ECN), QoS, and network virtualization technologies such as VXLAN and EVPN.</li>\n<li>Skilled in designing for low-latency and high-throughput data paths, including GPU-to-GPU and storage traffic optimization.</li>\n<li>Expertise with BGP-based fabric design, including eBGP underlays, MP-BGP EVPN, ECMP, route policy, and convergence.</li>\n<li>Experience with SDN, APIs, automation, and network telemetry.</li>\n<li>Strong optical networking competency, including transceiver technologies, fiber types and topologies, link budgets, breakout architectures, and WDM.</li>\n<li>Experience building resilient, fault-tolerant high-performance network architectures with redundancy, failover, and high availability.</li>\n<li>Excellent communication and leadership skills, capable of influencing technical decisions across diverse teams.</li>\n<li>Strong ownership and can-do attitude, self-starter who feels comfortable working in ambiguity.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Hands-on experience with AI workload profiling, collective communication patterns (e.g., NCCL, MPI), and network tuning for distributed training.</li>\n<li>Familiarity with network automation frameworks and telemetry tools.</li>\n<li>Exposure to DPU/SmartNIC technologies, including NVIDIA BlueField, or similar.</li>\n<li>Knowledge of large-scale, multi-site interconnect design, including DWDM or metro/long-haul networking.</li>\n<li>Experience collaborating with hyperscale or enterprise customers on highly customized network designs.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/efe606d6-eaa2-4e0a-a204-38002ae68818","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/efe606d6-eaa2-4e0a-a204-38002ae68818","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$284K - $420K","x-skills-required":["InfiniBand","Ethernet","RoCE","RDMA","VXLAN","EVPN","BGP","ECMP","SDN","APIs","network telemetry","optical networking","transceiver technologies","fiber types and topologies","link budgets","breakout architectures","WDM"],"x-skills-preferred":["AI workload profiling","collective communication patterns","network automation frameworks","telemetry tools","DPU/SmartNIC technologies","large-scale multi-site interconnect design","DWDM or metro/long-haul networking"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-14T19:49:48.424Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"InfiniBand, Ethernet, RoCE, RDMA, VXLAN, EVPN, BGP, ECMP, SDN, APIs, network telemetry, optical networking, transceiver technologies, fiber types and topologies, link budgets, breakout architectures, WDM, AI workload profiling, collective communication patterns, network automation frameworks, telemetry tools, DPU/SmartNIC technologies, large-scale multi-site interconnect design, DWDM or metro/long-haul networking","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":284000,"maxValue":420000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_00ec4afd-c40"},"title":"Senior Electrical Delivery Engineer","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>You will perform site walkdowns to verify installed electrical systems against approved designs, single-line diagrams, specifications, submittals, and Lambda standards.</p>\n<p>Your responsibilities include:</p>\n<ul>\n<li>Validating equipment ratings, protection settings, phasing, grounding and bonding, terminations, labeling, redundancy, and electrical failure domains.</li>\n<li>Identifying installation deficiencies, design conflicts, and operational risks; documenting punch-list items and driving them through closure.</li>\n<li>Reviewing construction test results and witnessing factory acceptance testing, site acceptance testing, functional testing, and integrated systems testing.</li>\n<li>Developing and reviewing energization plans, MOPs, SOPs, EOPs, switching procedures, and electrical safety controls.</li>\n<li>Supporting initial energization and troubleshooting issues involving substations, transformers, switchgear, UPS systems, generators, busway, PDUs, RPPs, and rack-level distribution.</li>\n<li>Coordinating with design engineers, engineering partners, utilities, general contractors, electrical trades, equipment manufacturers, commissioning agents, operations, and HPC deployment teams.</li>\n<li>Confirming that electrical capacity, voltage, redundancy, monitoring, and protection are ready before IT equipment is energized.</li>\n<li>Validating as-built documentation, equipment settings, test reports, commissioning records, and turnover packages before operational handoff.</li>\n<li>Capturing field lessons and incorporating them into Lambda&#39;s design standards, commissioning requirements, and site-validation playbooks.</li>\n<li>Mentoring other engineers and providing senior technical leadership during high-risk energization and bring-up activities.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Significant experience delivering, commissioning, or operating electrical systems in data centers, mission-critical facilities, utilities, or large industrial environments.</li>\n<li>Understanding of both medium- and low-voltage distribution, including transformers, switchgear, protective relays, generators, UPS systems, busway, grounding, and rack-level power.</li>\n<li>Ability to interpret single-line diagrams, equipment submittals, protection studies, relay settings, test reports, and construction documentation.</li>\n<li>Hands-on experience with site inspections, electrical testing, energization, commissioning, or operational turnover.</li>\n<li>Understanding of electrical safety, lockout/tagout, energized work controls, and applicable NEC, NFPA 70E, IEEE, and NETA requirements.</li>\n<li>Ability to distinguish between cosmetic deficiencies and conditions that create material safety, reliability, or operational risk.</li>\n<li>Comfortable making decisions in the field, escalating critical issues, and coordinating corrective work under schedule pressure.</li>\n<li>Clear communication with construction teams, engineers, vendors, operators, and senior stakeholders.</li>\n<li>Willingness to travel extensively and spend extended periods at active construction and commissioning sites.</li>\n<li>Bachelor&#39;s degree in electrical engineering or equivalent practical experience.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience commissioning hyperscale, colocation, HPC, or AI data centers.</li>\n<li>Experience supporting first energization and initial IT-load or GPU-cluster bring-up.</li>\n<li>Familiarity with Level 1–5 commissioning, integrated systems testing, and operational-readiness processes.</li>\n<li>Experience with protective-relay testing, breaker testing, insulation-resistance testing, power-quality analysis, or infrared inspections.</li>\n<li>Experience using tools such as ETAP, SKM, EasyPower, Procore, Bluebeam, or commissioning-management platforms.</li>\n<li>Experience investigating electrical failures and leading root-cause analysis.</li>\n<li>Professional Engineer licensure, commissioning certification, or NETA-related experience.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/38384169-e630-45b4-84f4-023d2e44ab78","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/38384169-e630-45b4-84f4-023d2e44ab78","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$252K - $395K","x-skills-required":["electrical engineering","data center","commissioning","electrical systems","site inspections","electrical testing","energization"],"x-skills-preferred":["ETAP","SKM","EasyPower","Procore","Bluebeam","commissioning-management platforms","protective-relay testing","breaker testing","insulation-resistance testing","power-quality analysis","infrared inspections"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-15T20:21:15.156Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, USA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"electrical engineering, data center, commissioning, electrical systems, site inspections, electrical testing, energization, ETAP, SKM, EasyPower, Procore, Bluebeam, commissioning-management platforms, protective-relay testing, breaker testing, insulation-resistance testing, power-quality analysis, infrared inspections","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":252000,"maxValue":395000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9ef3e4cd-5a6"},"title":"Construction Administrator","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>As a Construction Administrator, you will be the back-office backbone of Lambda’s data center build program. You will take in contractor schedules, submittals, drawings, RFIs, and change documentation across a portfolio of concurrent projects and turn them into a single clean, current, and trustworthy picture of where every project stands.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Schedule Distillation &amp; Analysis: Ingest contractor and vendor schedules across multiple concurrent projects. Extract critical path, key milestones, long-lead deliveries, and float consumption, and roll them into consolidated program-level and executive-level schedule views. Flag slippage, sequencing conflicts, and milestone risk before they surface in the field.</li>\n<li>Master Schedule Maintenance: Maintain Lambda’s integrated program schedule and milestone tracker. Reconcile contractor updates against baseline, maintain revision history, and keep OFCI delivery dates, commissioning windows, and capacity ready-for-service dates aligned.</li>\n<li>Document Control: Own the project document control system end to end: drawing registers, specifications, submittal logs, RFI logs, transmittals, meeting minutes, permits, inspection records, and as-builts. Enforce naming conventions, revision control, and access permissions so every stakeholder is working from the current set.</li>\n<li>Submittal &amp; RFI Administration: Log, route, and track submittals and RFIs to the correct internal reviewers. Monitor turnaround against contractual review windows, chase overdue responses, and maintain a clean audit trail of decisions and approvals.</li>\n<li>Change &amp; Cost Documentation: Track change orders, change directives, and potential change items from initiation through disposition. Maintain supporting documentation and reconcile the change log against budget trackers, purchase orders, and invoices in coordination with procurement and finance.</li>\n<li>Reporting Cadence: Produce the recurring reporting package: weekly project status reports, milestone dashboards, open-item and risk registers, and monthly program summaries for executive leadership. Ensure figures tie out across schedule, cost, and field reporting.</li>\n<li>Meeting &amp; Action Item Support: Prepare agendas and materials for OAC, design review, and page-turn meetings. Capture minutes and decisions, publish action items with owners and due dates, and drive follow-through to closure.</li>\n<li>Records, Turnover &amp; Closeout: Assemble and quality-check closeout packages including as-builts, O&amp;M manuals, warranties, commissioning reports, and training records. Ensure complete and timely handoff to Data Center Operations and Facilities.</li>\n<li>Systems &amp; Process Ownership: Administer and improve the project management and documentation platforms used by DCIE. Build templates, trackers, and automated reporting that reduce manual effort and standardize how projects are run.</li>\n<li>Standards Library Management: Maintain Lambda’s controlled library of Basis of Design documents, standard details, specifications, and internal procedures, keeping versions current and accessible across the team.</li>\n<li>Cross-functional Support: Support Network Engineering, Data Center Operations, HPC, Supply Chain, and TPM with accurate schedule and documentation inputs so downstream deployment planning is built on current data.</li>\n</ul>\n<p>Ideal Candidate Profile:</p>\n<ul>\n<li>Experienced in construction administration, project controls, or document control on complex construction or critical infrastructure programs.</li>\n<li>Able to read a contractor schedule critically rather than just repackage it, understanding logic ties, float, critical path, and where a schedule is telling an optimistic story.</li>\n<li>Genuinely organized, with a strong instinct for version control, naming discipline, and single sources of truth.</li>\n<li>Comfortable with construction drawings, specifications, submittals, and RFIs, and with the vocabulary of MEP and mission-critical work.</li>\n<li>Strong with data and reporting tools, able to turn scattered inputs into a clean dashboard without a week of manual assembly.</li>\n<li>Persistent and diplomatic in chasing overdue responses from contractors, vendors, and internal reviewers.</li>\n<li>Clear written communicator who can summarize status for executives without losing the detail that matters.</li>\n<li>Self-directed and dependable on a recurring reporting cadence across multiple projects at once.</li>\n<li>Improvement-minded, always looking to templatize and automate repetitive project administration.</li>\n<li>Discreet and careful with confidential contract, cost, and vendor information.</li>\n</ul>\n<p>Top Five Requirements:</p>\n<ol>\n<li>Construction Scheduling Fluency: Demonstrated ability to interpret, analyze, and distill contractor schedules into milestone and executive-level views, including critical path and float analysis.</li>\n<li>Document Control Discipline: Proven ownership of drawing registers, submittal and RFI logs, revision control, transmittals, and as-built and closeout documentation.</li>\n<li>Project Reporting &amp; Data Skills: Ability to build and maintain accurate recurring status reports, dashboards, and trackers across multiple concurrent projects.</li>\n<li>Tools Proficiency: Hands-on experience with project management and documentation platforms such as Primavera P6, MS Project, Procore, Smartsheet, and advanced spreadsheet work.</li>\n<li>Stakeholder Coordination &amp; Follow-Through: Track record of driving action items, review turnarounds, and documentation compliance across internal teams, contractors, and providers.</li>\n</ol>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor’s degree in Construction Management, Engineering, Business, or a related field (or equivalent practical experience).</li>\n<li>4+ years of experience in construction administration, project controls, document control, or project coordination, ideally on data center or mission-critical projects.</li>\n<li>Working knowledge of construction schedules, including critical path method, milestones, float, and lookahead planning.</li>\n<li>Familiarity with construction documentation workflows: drawings, specifications, submittals, RFIs, change orders, and closeout packages.</li>\n<li>Proficiency with Primavera P6 or MS Project, plus documentation and collaboration platforms (e.g., Procore, Smartsheet, SharePoint, Google Workspace, Jira, Monday.com).</li>\n<li>Advanced spreadsheet skills, with the ability to build clean trackers, pivots, and reporting views. Experience with dashboarding or light automation is a plus.</li>\n<li>Strong written communication and documentation skills, with attention to accuracy and consistency.</li>\n<li>Highly organized, able to manage competing deadlines across multiple concurrent projects with minimal supervision.</li>\n<li>Basic understanding of MEP systems and construction sequencing sufficient to interpret technical documents and ask the right questions.</li>\n<li>Willingness to travel occasionally to data center sites (~15%) for turnover, closeout, or program milestones.</li>\n<li>Committed to continuous improvement in project delivery, documentation standards, and reporting practices.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/f0618d06-8659-4f87-b1f2-a6a3926b467f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/f0618d06-8659-4f87-b1f2-a6a3926b467f","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$155K - $207K","x-skills-required":["construction administration","project controls","document control","Primavera P6","MS Project","Procore","Smartsheet","advanced spreadsheet skills"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-04T19:19:28.983Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"construction administration, project controls, document control, Primavera P6, MS Project, Procore, Smartsheet, advanced spreadsheet skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":155000,"maxValue":207000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_20a7644d-4b2"},"title":"Data Center Construction Site Foreman (Querétaro, Mexico)","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>As a Construction Onsite Foreman, you are Lambda’s eyes, ears, and hands in the field.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Daily Field Supervision: Serve as Lambda’s on-site lead for assigned data center projects.</li>\n<li>Fit-Out &amp; Installation Oversight: Oversee physical execution of white space fit-out work.</li>\n<li>Safety Leadership: Enforce site safety requirements, energized work permits, LOTO procedures, hot work permits, and PPE compliance.</li>\n<li>Quality Control &amp; Inspections: Perform in-progress and pre-cover inspections, torque and terminations checks, labeling verification, and workmanship reviews.</li>\n<li>Trade &amp; Vendor Coordination: Deconflict overlapping trade work, sequence access to shared space and shafts, and coordinate outage and switching windows with the data center provider.</li>\n<li>OFCI Material Management: Receive, inspect, stage, and secure OFCI (Owner-Furnished, Contractor-Installed) equipment.</li>\n<li>Schedule Support &amp; Lookaheads: Own the three-week lookahead in the field.</li>\n<li>Field Documentation &amp; Reporting: Produce daily field reports covering manpower counts, work completed, deliveries, delays, safety observations, and photo documentation.</li>\n<li>Issue Resolution &amp; Escalation: Resolve constructability conflicts and field questions at the site level where possible.</li>\n<li>Commissioning &amp; Turnover Support: Support pre-functional checks, Level 1 through Level 4 commissioning activities, and integrated systems testing.</li>\n<li>Cross-functional Alignment: Work closely with Network Engineering, Data Center Operations, HPC, Supply Chain, and Technical Project Management.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Hands-On Data Center or Mission-Critical Field Experience</li>\n<li>Crew &amp; Trade Supervision</li>\n<li>MEP &amp; Low Voltage Installation Knowledge</li>\n<li>Safety Ownership</li>\n<li>Field Documentation &amp; Reporting Discipline</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>High school diploma or equivalent required.</li>\n<li>Completed trade apprenticeship, journeyman license, technical certification, or associate degree in a construction or engineering discipline strongly preferred.</li>\n<li>5+ years of construction field experience, including 2+ years in a foreman, lead, or superintendent capacity.</li>\n<li>Direct experience with data center white space fit-out, critical facility construction, or comparable industrial and mission-critical installation work.</li>\n<li>Working knowledge of electrical, mechanical, and low voltage systems and installation practices, including power distribution, cooling, containment, and cabling.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/50148338-7b5c-4d70-b559-39439772f36b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/50148338-7b5c-4d70-b559-39439772f36b","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["construction","data center","electrical","mechanical","low voltage","safety management","project management"],"x-skills-preferred":["OSHA 30 certification","NFPA 70E familiarity","First Aid and CPR certification","Procore","Smartsheet","MS Project","Monday.com"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-04T19:20:58.654Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santiago de Querétaro, Bajío"}},"employmentType":"FULL_TIME","occupationalCategory":"Facilities & Maintenance","industry":"Technology","skills":"construction, data center, electrical, mechanical, low voltage, safety management, project management, OSHA 30 certification, NFPA 70E familiarity, First Aid and CPR certification, Procore, Smartsheet, MS Project, Monday.com"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3970a3e3-7e5"},"title":"Staff Data Center Implementation Manager","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>As a Data Center Implementation Manager, you will lead the end-to-end execution of multiple concurrent data center infrastructure projects, spanning Greenfield builds, colocation white space fit-outs, equipment upgrades, and lifecycle replacements.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Manage the build out of multiple data center projects concurrently, from detailed design to physical build out, including Greenfield construction projects, colocation white space fitouts, equipment upgrades, and end-of-life replacements.</li>\n<li>Oversee the work of MEP Contractors and Equipment Suppliers during the build out process.</li>\n<li>Coordinate with internal Subject Matter Experts (SMEs) across various disciplines, including electrical, mechanical, and low voltage, to ensure project requirements, technical specifications, and solutions are properly aligned.</li>\n<li>Work with our Data Center Providers and Contractors to prepare, review, and monitor project schedules, budgets, and forecasts for design and construction expenditures.</li>\n<li>Review and evaluate OFCI (Owner-Furnished, Contractor-Installed) equipment submittals, providing recommendations to the Construction Management team and Procurement teams.</li>\n<li>Participate in page-turn meetings with consultants, providing feedback on designs, Sequence of Operations, Basis of Design documents, and commissioning plans.</li>\n<li>Assist with RFPs for OFCI Equipment and Data Center Whitespace Fit Outs, evaluation of proposals, selection of vendors, and oversight on alignment with project budgets and schedules.</li>\n<li>Prepare and deliver detailed project reports to both executive leadership and project teams, track project budgets, schedules, scope objectives, and progress.</li>\n<li>Provide regular project updates to internal and external stakeholders, both informally and formally.</li>\n<li>Conduct site visits during construction to review design implementation, assess construction progress, and ensure adherence to design specifications, quality standards, and project requirements.</li>\n<li>Collaborate closely with cross-functional teams, including Network Engineering, Data Center Operations, HPC, Supply Chain and Technical Project Management to ensure alignment with business objectives and project deliverables.</li>\n<li>Contribute to internal design team meetings, proposing and exploring new technologies or design concepts to enhance project outcomes.</li>\n</ul>\n<p>Ideal Candidate Profile:</p>\n<ul>\n<li>Proven experience managing data center construction projects, including Greenfield builds, colocation fit-outs, and infrastructure upgrades.</li>\n<li>Strong understanding of MEP systems and construction practices, with hands-on experience coordinating with electrical, mechanical, and low voltage SMEs.</li>\n<li>Skilled in managing OFCI equipment procurement, submittal review, and installation oversight.</li>\n<li>Effective communicator with the ability to serve as the single point of contact for construction activities and maintain alignment across internal and external stakeholders.</li>\n<li>Proficient in tracking and managing project schedules, budgets, and forecasts in collaboration with contractors and data center providers.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor’s degree in Engineering, Construction Management, or a related field (or equivalent practical experience).</li>\n<li>10+ years of experience managing data center construction or critical infrastructure projects.</li>\n<li>Strong knowledge of MEP systems, including coordination with electrical, mechanical, and low voltage trades.</li>\n<li>Proficient in reviewing technical design documents, including Basis of Design, Sequence of Operations, and commissioning plans.</li>\n<li>Demonstrated experience managing OFCI equipment procurement, submittals, and installation processes.</li>\n<li>Strong documentation and writing skills, with the ability to create clear, concise project documents, decision-making documents, and instructional materials.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/65c58572-7ffa-4e26-a252-771dd89ab0d8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/65c58572-7ffa-4e26-a252-771dd89ab0d8","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$191K - $255K","x-skills-required":["MEP systems","construction management","OFCI equipment procurement","project scheduling","budget management","cross-functional collaboration"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-05T00:37:25.089Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, USA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"MEP systems, construction management, OFCI equipment procurement, project scheduling, budget management, cross-functional collaboration","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":191000,"maxValue":255000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e1777a73-dc3"},"title":"Technical Product Marketing Manager - Public Cloud","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us. This role owns how Lambda meets customers at every step: how the Public Cloud portfolio is positioned, packaged, launched, and enabled across self-service and sales-assisted motions.</p>\n<p>Lambda Cloud is a unified public cloud purpose-built and performance-optimized for AI workloads. The portfolio spans on-demand and reserved GPU instances, 1-Click Clusters, managed Kubernetes and Slurm, and supporting storage, networking, and platform capabilities.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own Public Cloud product marketing. Define and maintain positioning, messaging, audience segmentation, and the use-case library across the portfolio.</li>\n<li>Serve as the primary product marketing partner to the Public Cloud business unit, working with product management on roadmap context, packaging, and launch planning.</li>\n<li>Build use cases and the portfolio GTM architecture. Translate training, fine-tuning, inference, and proof-of-concept workloads into documented, sellable use cases mapped to segment and infrastructure requirements.</li>\n<li>Execute product launches. Own launch execution for new product features, instance types, APIs, and managed services.</li>\n<li>Create product-focused technical content. Produce messaging and positioning, solution briefs, datasheets, benchmark narratives, technical blogs, reference architectures, API and CLI walkthroughs, and use cases.</li>\n<li>Support sales and solutions engineering. Build discovery frameworks, qualification guidance, pitch materials, proposal content, battlecards, technical training, and competitive displacement narratives.</li>\n<li>Enable the broader marketing organization. Equip demand generation, growth, content, events, web, communications, and customer marketing with approved messaging, use cases, audience guidance, technical proof points, and launch materials.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>7+ years of product marketing, technical marketing, product management, or related experience in cloud infrastructure, IaaS, managed services, or adjacent developer platforms</li>\n<li>Demonstrated ownership of a technical product portfolio, including positioning, use-case development, product launches, competitive strategy, field enablement, and adoption</li>\n<li>Deep working knowledge of AI infrastructure, with the ability to independently reason about GPU architectures, bare metal and virtualized compute, multi-node cluster topology, InfiniBand and RDMA fabrics, Ethernet networking, storage and data movement, Kubernetes and Slurm, APIs, observability, reliability, and cloud security</li>\n<li>Demonstrated ability to produce technical content that withstands review by engineering audiences</li>\n<li>Strong written and verbal communication across technical and GTM audiences, from engineers and infrastructure architects to sales leadership and executive buyers</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Hands-on experience deploying AI or HPC workloads using a cloud console, API, CLI, Kubernetes, or Slurm</li>\n<li>Familiarity with CUDA, PyTorch, NCCL, distributed training frameworks, and benchmarking methodologies such as MLPerf</li>\n<li>Experience marketing managed Kubernetes, managed Slurm, GPU cloud infrastructure, or MLOps offerings</li>\n<li>Previous experience as a product manager, solutions architect, infrastructure engineer, developer advocate, or technical sales engineer</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/863c214b-6a40-48b4-80ff-989b43a72511","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/863c214b-6a40-48b4-80ff-989b43a72511","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180K - $240K","x-skills-required":["AI infrastructure","GPU architectures","cloud computing","Kubernetes","Slurm","technical content creation"],"x-skills-preferred":["CUDA","PyTorch","NCCL","distributed training frameworks","MLPerf","MLOps"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-01T15:39:32.450Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"AI infrastructure, GPU architectures, cloud computing, Kubernetes, Slurm, technical content creation, CUDA, PyTorch, NCCL, distributed training frameworks, MLPerf, MLOps","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d609da49-a7f"},"title":"Executive Communications Manager","description":"<p>Lambda is hiring a Communications Manager to build out the executive communications strategy for its leadership team. You will work with each executive to shape their individual voice and public profile, and build the systems that make the work repeatable as the company scales.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Set the external agenda for each member of the leadership team and run the program behind it.</li>\n<li>Write talking points, keynotes, long-form pieces, social posts, and more.</li>\n<li>Pitch and place executive interviews, profiles, and speaking opportunities.</li>\n<li>Build relationships with reporters and analysts who cover AI infrastructure.</li>\n<li>Build the systems behind the program: message frameworks, talk tracks, etc.</li>\n<li>Manage agency relationships.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>7+ years of experience in communications, including in-house experience at a hypergrowth start-up.</li>\n<li>Built out and managed executive communications playbooks for multiple leaders across an organization.</li>\n<li>Strong media relationships and a track record.</li>\n<li>Knowledge of the AI space, particularly AI infrastructure.</li>\n<li>Strong writing skills and experience ghostwriting for executives across multiple functions.</li>\n<li>Ability to work well with technical and non-technical teams.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/3657e8cd-ee20-49c4-af4e-4bd1497109a6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/3657e8cd-ee20-49c4-af4e-4bd1497109a6","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$203K - $270K","x-skills-required":["communications strategy","public profile management","media relations","AI infrastructure knowledge","writing","ghostwriting"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-01T15:35:54.822Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Communications","industry":"Technology","skills":"communications strategy, public profile management, media relations, AI infrastructure knowledge, writing, ghostwriting","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":203000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1a3ee11d-7bd"},"title":"Senior Manager, Detection and Response","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>Lambda Security protects some of the world&#39;s most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We&#39;re responsible for securing every byte that powers breakthrough artificial intelligence. Reporting to the CISO, you&#39;ll lead the Detection &amp; Response team that acts as an intelligent backstop,ensuring Lambda is the safest place to build with AI by catching security issues in real-time while enabling our business to move at hypergrowth velocity.</p>\n<p>Your team will transform reactive security operations into a proactive threat management engine, dedicating the majority of their effort to automation, threat hunting, and capability building rather than constant firefighting. Your team will directly affect customers’ trust in the safety of their data by implementing enterprise-grade detection capabilities, automating incident response workflows, and hardening our multi-cloud and bare metal infrastructure while you are building sustainable programs where senior engineers thrive solving novel security challenges. With unique access to LLMs hosted on our own infrastructure, your team will pioneer AI-powered security solutions that wouldn&#39;t be possible anywhere else.</p>\n<p>Key priorities include 24/7 operational coverage, maintaining customer trust through rapid incident response, and delivering a comprehensive D&amp;R strategy within your first 6 months.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<p><strong>Team Leadership &amp; Management:</strong></p>\n<ul>\n<li>Build, hire, and lead a high-performing Detection &amp; Response team that can scale with Lambda&#39;s hypergrowth while maintaining 24/7 operational excellence</li>\n<li>Define team processes, culture, and operating rhythms that balance startup agility with security discipline, creating an environment where senior engineers thrive on automation and novel challenges</li>\n<li>Conduct regular one-on-ones, provide constructive feedback, and create clear career development paths that help security engineers advance their technical and leadership skills</li>\n<li>Drive outcomes by managing project priorities, deadlines, and deliverables while establishing our blameless post-incident culture focused on systemic improvements rather than individual accountability</li>\n</ul>\n<p><strong>Technical Strategy &amp; Execution:</strong></p>\n<ul>\n<li>Define and implement threat management frameworks that transform reactive security operations into proactive threat hunting and detection, establishing automation standards that eliminate repetitive work and enable your team to focus on novel challenges</li>\n<li>Architect incident response processes, escalation frameworks, and triage protocols that protect Lambda from impact while scaling with the company’s growth</li>\n<li>Guide technology choices and evangelize new security tools, including pioneering AI-powered detection capabilities using our direct access to state-of-the-art LLMs</li>\n</ul>\n<p><strong>Strategic Collaboration &amp; Business Impact:</strong></p>\n<ul>\n<li>Create data-driven insights showing where we are reacting most frequently to guide investments in preventative controls</li>\n<li>Partner with Product and Platform engineering teams to evolve our detection and response capabilities as Lambda’s infrastructure grows</li>\n<li>Lead cross-functional collaboration during critical events and establish executive reporting that translates technical incidents into business impact while driving blameless post-incident reviews to continuously strengthen security posture</li>\n</ul>\n<p><strong>Operational Excellence &amp; Scaling:</strong></p>\n<ul>\n<li>Drive weekly operations reviews that ensure nothing falls through the cracks while building institutional knowledge and defining repeatable processes from every incident</li>\n<li>Define sustainable on-call rotations and operational procedures that maintain 24/7 coverage without burning out senior engineers</li>\n<li>Establish the team&#39;s 6-month strategic roadmap for comprehensive D&amp;R capabilities while defining success criteria and measurable outcomes</li>\n</ul>\n<p><strong>What We Think a Candidate Needs to Demonstrate to Succeed</strong></p>\n<ul>\n<li>10+ years of security experience with 5+ years leading technical teams, demonstrating ability to build and manage independently</li>\n<li>Proven ability to define and build security programs from the ground up that accelerate business initiatives, with demonstrated experience establishing team processes, technical frameworks, and cross-functional partnerships</li>\n<li>Excellence at building automation-first security programs where technology eliminates toil and teams never do the same thing twice</li>\n<li>Clear understanding of the unique requirements of securing a cloud infrastructure provider</li>\n<li>Proven ability to create sustainable team cultures where senior engineers thrive long-term rather than burning out on repetitive tasks</li>\n<li>Strong judgment in security response, understanding real business impact and calibrating actions proportionally</li>\n<li>Track record of translating technical security work into executive communications and business-aligned metrics</li>\n<li>Thrives in high-ambiguity environments where you must build structure while executing at startup pace</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Excitement about leveraging our direct access to state-of-the-art LLMs to revolutionize security operations,imagine AI-powered threat hunting, automated security report generation, and intelligent vulnerability prioritization at a scale only possible when you host the AI infrastructure yourself.</li>\n<li>Experience building D&amp;R programs at AI/ML companies</li>\n<li>Track record using AI/ML for security operations automation</li>\n<li>Background scaling security during hypergrowth</li>\n<li>Deep technical background allowing hands-on contribution when needed</li>\n<li>Experience with both build and buy decisions for security tooling</li>\n<li>Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/31fa5205-4f1f-4fa3-8fa9-7636940dd3b3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/31fa5205-4f1f-4fa3-8fa9-7636940dd3b3","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$324K - $480K","x-skills-required":["security","automation","threat hunting","incident response","cloud infrastructure"],"x-skills-preferred":["AI/ML","security operations automation","compliance audits"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-04T20:01:11.012Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington"}},"employmentType":"FULL_TIME","occupationalCategory":"Security","industry":"Technology","skills":"security, automation, threat hunting, incident response, cloud infrastructure, AI/ML, security operations automation, compliance audits","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":324000,"maxValue":480000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7af49c40-1db"},"title":"Staff Finance Systems Architect","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>We are seeking an experienced Senior Finance Systems Architect to lead and innovate across our enterprise systems landscape.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Strategic Leadership: Collaborate with stakeholders across functions to develop and execute scalable system roadmaps, aligning business goals with system capabilities.</li>\n<li>Solution Design &amp; Implementation: Architect and deploy advanced workflows, configurations, and modules in enterprise platforms like NetSuite, Coupa, Stripe, and Chargebee.</li>\n<li>Tooling Selection &amp; Standardization: Lead the evaluation, selection, and implementation of tools and systems across the business to ensure alignment with operational needs, scalability, and long-term goals.</li>\n<li>Integration &amp; Automation: Manage integrations and optimize iPaaS tools (e.g., Workato, Mulesoft) to ensure seamless data flow, interoperability, and automated processes across platforms.</li>\n<li>Compliance &amp; Optimization: Ensure SOX compliance through robust internal controls, system audits, and governance while driving continuous system improvements.</li>\n<li>Support &amp; Analytics: Troubleshoot complex issues, mentor team members, and deliver actionable insights through advanced reporting and dashboards to support decision-making.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>10+ years of experience in business systems architecture or administration, including hands-on implementation of enterprise systems.</li>\n<li>Strong understanding of Finance technology stacks, including NetSuite, Coupa, Supply Chain, Asset Management, Billing systems and related business applications.</li>\n<li>Certifications in relevant platforms (e.g., NetSuite Administrator, iPaaS) strongly preferred.</li>\n<li>Proficiency in languages like JavaScript/SQL/ HTML/CSS/Python.</li>\n<li>Strong experience with middleware and low/no-code platforms (e.g., Workato, n8n, Mulesoft, Alteryx) for system integrations &amp; workflow automations.</li>\n<li>Demonstrated success in deploying process automation tools to streamline operations and increase efficiency.</li>\n<li>Strong knowledge of ITGCs (IT General Controls) and SOX compliance.</li>\n<li>Excellent communication skills to effectively collaborate across all levels of leadership from technical staff to senior executives.</li>\n<li>Proven ability to present complex technical solutions in a clear and compelling manner.</li>\n<li>Hands-on experience leveraging AI and machine learning tools to design, build, and deploy intelligent automation solutions that enhance business processes.</li>\n<li>Proficiency with AI-powered platforms and frameworks (e.g., OpenAI, Anthropic, LangChain, or similar) to develop custom workflows, copilots, and agentic solutions.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Proficiency in system customization tools like SuiteScript, Salesforce Flow, or equivalent.</li>\n<li>Experience with building Internal AI apps on AWS.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/04b3e06c-6403-48c6-84b2-c7b849248afc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/04b3e06c-6403-48c6-84b2-c7b849248afc","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$206K - $275K","x-skills-required":["NetSuite","Coupa","Stripe","Chargebee","JavaScript","SQL","HTML","CSS","Python","Workato","Mulesoft","SOX compliance","ITGCs","AI","Machine Learning"],"x-skills-preferred":["SuiteScript","Salesforce Flow","AWS"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-16T21:19:12.700Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"NetSuite, Coupa, Stripe, Chargebee, JavaScript, SQL, HTML, CSS, Python, Workato, Mulesoft, SOX compliance, ITGCs, AI, Machine Learning, SuiteScript, Salesforce Flow, AWS","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":206000,"maxValue":275000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_de272fa8-fa7"},"title":"Engineering Manager, Fleet Engineering","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>Fleet Engineering owns the full lifecycle of Lambda&#39;s production systems infrastructure , new product introduction, deployment, operation, and reliability of our GPU fleet. We enable the building and running of that infrastructure with speed, ease, and quality.</p>\n<p>The Fleet Engineering teams focus on:</p>\n<ul>\n<li>HPC Deployments: Turning bare metal into production-ready capacity</li>\n<li>Fleet Reliability: Day-2 operations across the fleet</li>\n<li>Fleet Orchestration / Data: Owning our production source of truth system</li>\n<li>Fleet Orchestration / Automation: Owning the workflow orchestration system</li>\n<li>Fleet Foundation: Building the host enablement tooling systems</li>\n</ul>\n<p>We are hiring multiple Engineering Managers for the following teams: Fleet Reliability, HPC Deployments, Fleet Foundation, Fleet Orchestration / Automation.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead and grow a distributed team of top-talent engineers</li>\n<li>Work cross-functionally to deliver projects and deployments on time</li>\n<li>Identify opportunities for efficiency gains</li>\n<li>Give stakeholders clear visibility into project progress, risks, and outcomes</li>\n<li>Participate in qualification efforts for new technologies</li>\n<li>Drive outcomes by managing staff allocation, project priorities, deadlines, and deliverables</li>\n<li>Hold regular 1:1s, give constructive feedback, and support career development for your team</li>\n<li>Contribute to reliability through participation in our Incident Management and Review programs</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>3+ years leading or managing engineers in AI/ML infrastructure or another large-scale compute environment</li>\n<li>Experience owning production systems with real SLAs</li>\n<li>Ability to work confidently in Linux and debug across the OS, hardware, and networking layers</li>\n<li>Leadership experience in technical design on medium-to-large efforts</li>\n<li>Excellent problem-solving and troubleshooting instincts</li>\n<li>Experience working at the intersection of hardware, software, and physical datacenter builds</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Depth in Linux systems administration, TCP/IP networking, automation, and scripting</li>\n<li>Bare metal provisioning and lifecycle management</li>\n<li>Strong coding ability in at least one language</li>\n<li>Experience with GPU acceleration, virtualization, cloud computing, and datacenter physical infrastructure</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/b47d567c-f99a-4d0f-a128-8e6e42297ac5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/b47d567c-f99a-4d0f-a128-8e6e42297ac5","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$297K - $440K","x-skills-required":["Linux","TCP/IP","automation","scripting","GPU acceleration","virtualization","cloud computing"],"x-skills-preferred":["Linux systems administration","bare metal provisioning","strong coding ability","datacenter physical infrastructure"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-22T00:33:11.349Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Linux, TCP/IP, automation, scripting, GPU acceleration, virtualization, cloud computing, Linux systems administration, bare metal provisioning, strong coding ability, datacenter physical infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":297000,"maxValue":440000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_22f87f68-640"},"title":"Staff Mechanical Engineer","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p><strong>Job Details:</strong></p>\n<ul>\n<li>Location: San Francisco Office (Fremont St); San Jose Office (First St); Bellevue Office</li>\n<li>Department: Data Center Business</li>\n<li>Job Type: Full-time</li>\n<li>Work Arrangement: Hybrid</li>\n<li>Salary: $314K - $465K</li>\n</ul>\n<p><strong>What You&#39;ll Do:</strong></p>\n<ul>\n<li>Own mechanical design standards and reference architectures for large-scale AI data centers.</li>\n<li>Develop cooling architectures for greenfield, retrofit, and partner-operated facilities.</li>\n<li>Design central plants, heat-rejection systems, hydronic distribution, air-cooling systems, and direct-to-chip liquid-cooling infrastructure.</li>\n<li>Perform cooling-load, heat-transfer, hydraulic, pressure-drop, psychrometric, and equipment-capacity calculations.</li>\n<li>Develop and review P&amp;IDs, equipment schedules, layouts, specifications, sequences of operation, and basis-of-design documents.</li>\n<li>Select and size chillers, cooling towers, dry coolers, pumps, heat exchangers, CRAHs, CDUs, piping, valves, and water-treatment systems.</li>\n<li>Evaluate designs for capacity, redundancy, failure isolation, maintainability, efficiency, water use, constructability, cost, and schedule.</li>\n<li>Translate GPU, rack, and cluster thermal requirements into facility cooling requirements.</li>\n<li>Review partner designs, vendor submittals, construction documents, and equipment packages for compliance with Lambda standards.</li>\n<li>Coordinate mechanical interfaces with electrical systems, controls, building structure, hardware engineering, construction, commissioning, and operations.</li>\n<li>Support equipment selection, long-lead procurement, factory testing, construction sequencing, commissioning, and system bring-up.</li>\n<li>Investigate cooling failures and operational risks, driving lessons back into future designs.</li>\n<li>Travel to project sites, manufacturers, and partner facilities as needed.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Experience designing mechanical systems for data centers, mission-critical facilities, central plants, or large industrial environments.</li>\n<li>Understand hydronic systems, heat transfer, chilled-water systems, heat rejection, pumping, filtration, and water treatment.</li>\n<li>Can develop and review P&amp;IDs, mechanical layouts, equipment schedules, technical specifications, and engineering calculations.</li>\n<li>Understand mechanical redundancy, failure domains, maintainability, and operational requirements.</li>\n<li>Can evaluate system performance across changing weather conditions and compute loads.</li>\n<li>Understand applicable mechanical, plumbing, energy, and safety codes and standards.</li>\n<li>Can balance cooling performance, efficiency, water consumption, reliability, cost, and delivery schedule.</li>\n<li>Communicate clearly across engineering, construction, operations, vendors, and executive stakeholders.</li>\n<li>Hold a bachelor’s degree in mechanical engineering or equivalent practical experience.</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience designing hyperscale, colocation, HPC, or AI data centers.</li>\n<li>Experience with high-density GPU infrastructure and direct-to-chip liquid cooling.</li>\n<li>Experience with CDUs, warm-water cooling, dry coolers, adiabatic systems, or water-side economization.</li>\n<li>Familiarity with CFD, Pipe-Flo, AFT Fathom, Revit, or comparable engineering tools.</li>\n<li>Experience with water chemistry, glycol systems, filtration, flushing, and cooling-system cleanliness requirements.</li>\n<li>Experience supporting factory testing, commissioning, integrated systems testing, or failure investigations.</li>\n<li>Professional Engineer licensure or progress toward licensure.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/b514fcd5-2b08-45f6-9d3d-7b00bfd6dd95","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/b514fcd5-2b08-45f6-9d3d-7b00bfd6dd95","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$314K - $465K","x-skills-required":["mechanical engineering","hydronic systems","heat transfer","chilled-water systems","heat rejection","pumping","filtration","water treatment","P&IDs","mechanical layouts","equipment schedules","technical specifications","engineering calculations","mechanical redundancy","failure domains","maintainability","operational requirements"],"x-skills-preferred":["hyperscale data centers","colocation data centers","HPC data centers","AI data centers","high-density GPU infrastructure","direct-to-chip liquid cooling","CDUs","warm-water cooling","dry coolers","adiabatic systems","water-side economization","CFD","Pipe-Flo","AFT Fathom","Revit","water chemistry","glycol systems","flushing","cooling-system cleanliness requirements","factory testing","commissioning","integrated systems testing","failure investigations","Professional Engineer licensure"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-14T20:34:23.207Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"mechanical engineering, hydronic systems, heat transfer, chilled-water systems, heat rejection, pumping, filtration, water treatment, P&IDs, mechanical layouts, equipment schedules, technical specifications, engineering calculations, mechanical redundancy, failure domains, maintainability, operational requirements, hyperscale data centers, colocation data centers, HPC data centers, AI data centers, high-density GPU infrastructure, direct-to-chip liquid cooling, CDUs, warm-water cooling, dry coolers, adiabatic systems, water-side economization, CFD, Pipe-Flo, AFT Fathom, Revit, water chemistry, glycol systems, flushing, cooling-system cleanliness requirements, factory testing, commissioning, integrated systems testing, failure investigations, Professional Engineer licensure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":314000,"maxValue":465000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e23abbe6-c57"},"title":"Senior FP&A Analyst - Engineering & Product","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p><strong>Project Spend, Internal Capacity &amp; Fleet Optimization</strong></p>\n<ul>\n<li>Own project-level budgets, spend tracking, and cost-to-complete forecasts for Engineering and Product initiatives</li>\n<li>Quantify internal capacity consumption across development, testing, and benchmarking; build and maintain allocation and chargeback methodology</li>\n<li>Partner with Infrastructure and Engineering on fleet optimization, including utilization, idle capacity, instance mix, and reclamation opportunities</li>\n<li>Translate optimization opportunities into quantified savings and track realization against target</li>\n</ul>\n<p><strong>Product Investment ROI &amp; R&amp;D Analysis</strong></p>\n<ul>\n<li>Build business cases and ROI models for product and R&amp;D investments</li>\n<li>Establish post-investment measurement; track realized returns against the original underwriting</li>\n<li>Analyze R&amp;D spend by initiative and support capitalization analysis with Accounting</li>\n<li>Provide prioritization frameworks and trade-off analysis for competing investment requests</li>\n</ul>\n<p><strong>New Product Introduction (NPI) Management</strong></p>\n<ul>\n<li>Serve as the finance partner across the NPI lifecycle, from concept through launch and ramp</li>\n<li>Model pricing, unit economics, margin, and volume assumptions for new offerings</li>\n<li>Own stage-gate financial deliverables and launch readiness criteria</li>\n<li>Track post-launch performance against the launch case and inform go/no-go and scaling decisions</li>\n</ul>\n<p><strong>Engineering &amp; Product Headcount and OpEx Management (BvA)</strong></p>\n<ul>\n<li>Own OpEx and headcount planning, tracking, and reporting for the Engineering, Product, and Cloud Services organizations</li>\n<li>Maintain hiring plans, compensation assumptions, and organizational change tracking against approved headcount</li>\n<li>Prepare monthly and quarterly budget vs. actual analysis, identify key drivers, and partner with Engineering and Product leaders to explain performance</li>\n<li>Manage vendor, software, and tooling spend; support accrual and reclassification inputs with Accounting through the monthly close</li>\n</ul>\n<p><strong>Cash Flow Forecasting</strong></p>\n<ul>\n<li>Build and maintain the operating cash flow forecast model, including timing of vendor payments, capacity commitments, and project spend</li>\n<li>Own the rolling near-term cash view; reconcile forecast to actuals and explain variances</li>\n<li>Model scenarios around deployment timing, payment terms, and financing structures</li>\n<li>Partner with Accounting and Treasury on payables timing, prepaids, and commitment schedules</li>\n</ul>\n<p><strong>Executive Reporting &amp; Communication</strong></p>\n<ul>\n<li>Deliver Cloud Services, Engineering, and Product insights for monthly business reviews, executive reviews, and board materials</li>\n<li>Translate complex technical and operational data into clear financial insight</li>\n<li>Provide actionable recommendations on cost efficiency, investment prioritization, and margin improvement</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have a bachelor&#39;s degree in Finance, Accounting, Economics, or a related field</li>\n<li>Have 4+ years experience in FP&amp;A, corporate finance, investment banking, or consulting, ideally with a focus on Cloud / AI infrastructure, SaaS, Data centers, Telecom, Hardware, or industrials</li>\n<li>Have direct experience partnering with Engineering or Product organizations on budget, roadmap, and investment decisions</li>\n<li>Possess extensive experience in financial modeling and analysis, with a deep expertise in constructing complex financial models and interpreting financial statements to drive strategic decision-making</li>\n<li>Have excellent analytical, strategic thinking, and decision-making skills</li>\n<li>Possess strong Excel skills and experience with financial software systems</li>\n<li>Have the ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects</li>\n<li>Have excellent written and verbal communication skills with the ability to present complex data clearly and concisely</li>\n<li>Are a team player with a positive attitude, strong work ethic, and a commitment to continuous improvement</li>\n<li>Are able to work in an ambiguous environment with very little direction</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/e3bf45bc-c78f-435c-922e-e24831d59670","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai/careers","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/e3bf45bc-c78f-435c-922e-e24831d59670","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$169K - $200K","x-skills-required":["Financial modeling","Analysis","Budgeting","Forecasting","Financial software systems","Excel"],"x-skills-preferred":["SQL","R&D capitalization","New product introduction","Product P&L ownership","GPU compute","AI/ML workloads","Cloud infrastructure 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team</li>\n<li>Experience with corporate and securities law and/or commercial or technology agreements</li>\n<li>Familiarity with contract lifecycle or legal workflow tools</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/28fe6ae2-c6f7-4097-bded-b0fa291d783a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/28fe6ae2-c6f7-4097-bded-b0fa291d783a","x-work-arrangement":"hybrid","x-experience-level":null,"x-job-type":"full-time","x-salary-range":"hourly rate higher or lower than market data","x-skills-required":["JD","contracts coursework","legal writing","analytical skills","AI-assisted tools"],"x-skills-preferred":["prior internship at a law firm or in-house legal team","corporate and securities law","commercial or technology agreements","contract lifecycle or legal workflow 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serving tens of thousands of customers.</p>\n<p>You will manage and lead a team of data center technicians, maintaining high availability, reliability, and security in the data center environment.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Managing and leading a team of data center technicians</li>\n<li>Maintaining high availability, reliability, and security in the data center environment</li>\n<li>Ensuring new server, storage and network infrastructure is properly racked, labeled, cabled, and configured</li>\n<li>Troubleshooting hardware and software issues in some of the world’s most advanced systems</li>\n<li>Documenting data center layout and network topology in DCIM software</li>\n<li>Working with supply chain &amp; manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments</li>\n<li>Assessing current and future state data center requirements based on growth plans and technology trends</li>\n<li>Managing a parts depot inventory and tracking equipment through the delivery-store-stage-deploy-handoff process</li>\n<li>Creating installation standards and documentation for placement, labeling, and cabling</li>\n<li>Overseeing deployments and day-to-day operations of the data center</li>\n<li>Maintaining uptime for assets and infrastructure, and ensuring customer SLAs are met</li>\n<li>Participating in technical discussions and providing expertise on data center integration and deployment strategies</li>\n<li>Understanding power/cooling requirements and cabling needs required within data center space</li>\n<li>Working closely with cross-functional teams, including Hardware Engineering, Software Engineering, Supply Chain, Customer Experience and Sales</li>\n<li>Ensuring the data center complies with Lambda’s standards and policies</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years experience with critical infrastructure systems supporting data centers</li>\n<li>Basic understanding of Linux administration</li>\n<li>Experience in setting up networking appliances (Ethernet and InfiniBand) across multiple data center locations</li>\n<li>Attention to detail and ability to follow instructions</li>\n<li>Action-oriented with a strong willingness to learn</li>\n<li>Desire to mentor other team members and help them reach their full potential</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience with troubleshooting and theoretical knowledge of network layers, technologies, and system protocols</li>\n<li>Experience working in large-scale distributed data center environments</li>\n<li>Experience working with auditors to meet all compliance requirements</li>\n<li>Experience with Supermicro &amp; Nvidia hardware</li>\n<li>Previous data center team management experience</li>\n</ul>\n<p>We offer:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/fff33a83-568e-4729-aacc-a58c1d8c8def","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/fff33a83-568e-4729-aacc-a58c1d8c8def","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$137K - $183K","x-skills-required":["Linux administration","networking appliances","data center infrastructure","team management"],"x-skills-preferred":["troubleshooting","network layers","large-scale distributed data center environments","compliance requirements","Supermicro & Nvidia hardware"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-17T21:34:58.096Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Elk Grove Village, Illinois"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"Linux administration, networking appliances, data center infrastructure, team management, troubleshooting, network layers, large-scale distributed data center environments, compliance requirements, Supermicro & Nvidia hardware","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":137000,"maxValue":183000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1c6352e5-688"},"title":"Sourcing Manager, ODM/OEM Systems","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>We are seeking an experienced Sourcing Manager to manage the ODM/OEM landscape for Lambda&#39;s data center hardware, as part of the team focused on managing our system level ODM/OEM Finished Good Racks &amp; Networking that power our rapidly growing AI cloud footprint.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>ODM/OEM Sourcing Strategy: Own and execute the ODM/OEM sourcing strategy for your assigned finished-goods portfolio, including full-system integration, rack integration, and factory test.</li>\n<li>Commercial Negotiation &amp; Contracting: Lead system-level commercial negotiations with ODM and OEM partners.</li>\n<li>Partner Management: Manage day-to-day and executive-level relationships with strategic ODM and OEM partners.</li>\n<li>New Product Introduction &amp; Ramp: Support new platform and technology introductions from EVT through PVT to mass production.</li>\n<li>Cross-Functional Partnership: Partner with Hardware, Network, and Data Center Engineering to translate platform, fabric, power, thermal, and rack requirements into sourcing and commercial strategies.</li>\n<li>Risk, Cost &amp; Supply Resilience: Develop and maintain supply continuity plans for the ODM/OEM base.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>8+ years of experience in Strategic Sourcing, Procurement, ODM/OEM Management, or Supply Chain roles.</li>\n<li>Demonstrated experience negotiating and managing build and supply agreements with ODMs, OEMs, or contract manufacturers.</li>\n<li>Strong command of system-level cost structure.</li>\n<li>Experience owning platform-level partner selection and managing partners through NPI, qualification, and mass production ramp.</li>\n</ul>\n<p><strong>Nice To Have</strong></p>\n<ul>\n<li>Experience supporting hyperscale data center or AI infrastructure build programs.</li>\n<li>Familiarity with open hardware ecosystems and standards.</li>\n<li>Working fluency in the underlying supply base.</li>\n<li>Mandarin language ability and experience working directly with Taiwan- or China-based manufacturing partners.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/a8cb384a-b3ea-40a9-b592-b94639b727c7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/a8cb384a-b3ea-40a9-b592-b94639b727c7","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$203K - $271K","x-skills-required":["Strategic Sourcing","Procurement","ODM/OEM Management","Supply Chain","System-level cost structure","Commercial Negotiation"],"x-skills-preferred":["Hyperscale data center","AI infrastructure","Open hardware ecosystems","Mandarin"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-25T22:22:04.925Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"Strategic Sourcing, Procurement, ODM/OEM Management, Supply Chain, System-level cost structure, Commercial Negotiation, Hyperscale data center, AI infrastructure, Open hardware ecosystems, Mandarin","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":203000,"maxValue":271000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_924cc206-bdc"},"title":"Senior FP&A Analyst - Public Cloud","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Public Cloud Revenue Forecasting: Own the Public Cloud revenue forecast across on-demand, reserved, and committed-use offerings. Build and maintain driver-based models linking capacity, utilization, and pricing to revenue. Forecast new customer acquisition, expansion, contraction, and churn by product line. Deliver monthly revenue forecasts along with variance analysis and commentary.</li>\n</ul>\n<ul>\n<li>Headcount &amp; OpEx Management (BvA): Own OpEx and headcount planning, tracking, and reporting for the Public Cloud organization. Maintain hiring plans, compensation assumptions, and organizational change tracking against approved headcount. Prepare monthly and quarterly budget vs. actual analysis, identify key drivers, and partner with business owners to explain performance.</li>\n</ul>\n<ul>\n<li>GTM Finance Partnership &amp; Strategy: Serve as the finance partner to Public Cloud GTM leadership on go-to-market planning and resource allocation. Model sales capacity, quota coverage, and rep productivity; evaluate territory and quota scenarios. Analyze pipeline conversion, bookings-to-revenue linkage, and funnel efficiency.</li>\n</ul>\n<ul>\n<li>Customer Segment Analysis: Develop segment-level views of revenue, margin, retention, and lifetime value. Build cohort and consumption-behavior analyses to identify expansion opportunity and churn risk. Size segment opportunity and inform prioritization across self-serve, mid-market, and enterprise.</li>\n</ul>\n<ul>\n<li>Pricing Support: Support pricing strategy with margin, elasticity, and competitive analysis across instance types and regions. Model P&amp;L impact of list price changes, discount structures, and committed-use constructs.</li>\n</ul>\n<ul>\n<li>Internal Usage &amp; Allocation: Track and report internal, non-revenue consumption of Public Cloud capacity across Engineering, Research, and demo or benchmark use. Build and maintain allocation and chargeback methodology.</li>\n</ul>\n<ul>\n<li>Executive Reporting &amp; Communication: Deliver Public Cloud insights for monthly business reviews, executive reviews, and board materials. Translate consumption and operational data into a clear financial narrative.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have a Bachelor&#39;s degree in Finance, Accounting, Economics, or a related field.</li>\n<li>Have 4+ years of experience in FP&amp;A, corporate finance, GTM or sales finance, investment banking, or consulting, ideally with a focus on Cloud / AI infrastructure, SaaS, Data centers, Telecom, or Hardware.</li>\n<li>Have direct experience forecasting revenue in a consumption-based or usage-based business model.</li>\n<li>Possess extensive experience in financial modeling and analysis, with a deep expertise in constructing complex financial models and interpreting financial statements to drive strategic decision-making.</li>\n<li>Have excellent analytical, strategic thinking, and decision-making skills.</li>\n<li>Possess strong Excel skills and experience with financial software systems.</li>\n<li>Have the ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects.</li>\n<li>Have excellent written and verbal communication skills with the ability to present complex data clearly and concisely.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Prior experience in a startup or high-growth organization, demonstrating adaptability and flexibility to thrive in such environments.</li>\n<li>Experience with pricing strategy, unit economics, or deal desk support.</li>\n<li>Working proficiency in SQL and comfort querying large data sets directly.</li>\n<li>Experience with enterprise planning systems and CRM data.</li>\n<li>Familiarity with GPU compute, AI/ML workloads, or public cloud infrastructure.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation.</li>\n<li>Health, dental, and vision coverage for you and your dependents.</li>\n<li>Wellness and commuter stipends for select roles.</li>\n<li>401k Plan with 2% company match (USA employees).</li>\n<li>Flexible paid time off plan.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/45420498-0c3f-438e-a127-8438c7a342fa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/45420498-0c3f-438e-a127-8438c7a342fa","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$169K - $200K","x-skills-required":["FP&A","financial modeling","analysis","strategic thinking","decision-making","Excel","financial software systems"],"x-skills-preferred":["SQL","enterprise planning systems","CRM data","GPU compute","AI/ML workloads","public cloud infrastructure"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-14T18:29:02.990Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"FP&A, financial modeling, analysis, strategic thinking, decision-making, Excel, financial software systems, SQL, enterprise planning systems, CRM data, GPU compute, AI/ML workloads, public cloud infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":169000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_446e40be-94e"},"title":"Technical Success Engineer","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>The Superintelligence Technical Success Engineer is part of Lambda&#39;s Superintelligence business unit, dedicated to our largest, most strategic customers operating in the most complex environments. This role owns taking signed deployments from contract to a live, fully operational production environment. The role requires strong technical acumen to validate the build against what was promised, spot gaps, and work effectively with engineering and infrastructure teams to get issues resolved and requirements clearly understood.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Take signed deployments, from contract, to live, to working production environments, validating configuration, connectivity, storage, and compute against what was promised</li>\n<li>Bring technical depth to validation and troubleshooting conversations , asking the right questions, spotting gaps, and working closely with engineering and infrastructure teams to drive issues to resolution</li>\n<li>Coordinate with Infrastructure, Engineering, Product, and Data Center teams to close technical dependencies and resolve blockers</li>\n<li>Own a current, accurate technical picture of the deployment , what&#39;s built, what&#39;s open, what&#39;s at risk</li>\n<li>Keep stakeholders informed with clear, regular status updates: RAG status, top risks, and what&#39;s being done about them</li>\n<li>Guide the customer through onboarding to their first successful production workload</li>\n<li>Be the customer&#39;s go-to technical contact through deployment and early production</li>\n<li>Feed recurring technical patterns back into reusable runbooks, checklists, or automation</li>\n<li>Transition out once the customer is stable and self-sufficient, keeping the broader account team informed along the way</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>4+ years of hands-on technical experience with GPU/HPC infrastructure, cloud platforms, Kubernetes, or large-scale Linux systems</li>\n<li>Comfortable being the technical voice in the room able to validate builds, spot gaps, and hold engineering teams accountable for resolving them</li>\n<li>Strong troubleshooting instincts and a willingness to get into the weeds of networking, storage, or compute issues</li>\n<li>Track record of coordinating across engineering and infrastructure teams to close out technical dependencies</li>\n<li>Clear written and verbal communication for status updates and technical documentation</li>\n<li>A bias toward diving in and taking ownership, rather than waiting for a fully defined process</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Exposure to large-scale GPU cluster deployments</li>\n<li>Familiarity with project/program tracking tools and structured status reporting</li>\n<li>Experience building runbooks or checklists that outlived the engagement they were built for</li>\n</ul>\n<p>We offer:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/2b7fbb56-fc5b-4d9d-91a6-fdfb81a135e8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/2b7fbb56-fc5b-4d9d-91a6-fdfb81a135e8","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$214K - $285K","x-skills-required":["GPU/HPC infrastructure","cloud platforms","Kubernetes","large-scale Linux systems","troubleshooting","technical documentation"],"x-skills-preferred":["large-scale GPU cluster deployments","project/program tracking tools","structured status reporting","runbooks or checklists"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-20T17:45:10.579Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, USA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"GPU/HPC infrastructure, cloud platforms, Kubernetes, large-scale Linux systems, troubleshooting, technical documentation, large-scale GPU cluster deployments, project/program tracking tools, structured status reporting, runbooks or checklists","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":214000,"maxValue":285000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8c306a48-8b5"},"title":"Senior HPC Engineer - Fleet Engineering","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>What You&#39;ll Do:</p>\n<ul>\n<li>Build and operate monitoring and alerting for cluster health , fabric, GPU, power/thermal, and job-level signals , to detect and respond to issues proactively</li>\n<li>Remotely deploy and configure large-scale HPC clusters for AI workloads using automation wherever possible</li>\n<li>Automate cluster lifecycle: operating systems, firmware, drivers, and networking, managed as code (Ansible, Terraform) rather than by hand</li>\n<li>Create runbooks and automated remediations for common cluster failure modes, designed so Support and HPC Support can run them safely</li>\n<li>Troubleshoot and resolve cluster issues across InfiniBand/RoCE, NCCL, GPU-direct, fabric, switching, and power , working closely with on-site deployment teams</li>\n<li>Participate in on-call rotations and lead incident response for cluster-level problems</li>\n<li>Contribute to and maintain Standard Operating Procedures, and feed clear requirements back to other engineering teams on simplification, stability, and operational efficiency</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>7+ years of experience in Site Reliability Engineering, HPC Engineering, DevOps, or a similar role</li>\n<li>Strong understanding of modern AI infrastructure, from GPU architectures to hardware performance optimization</li>\n<li>Strong understanding of Linux-based systems in a distributed environment</li>\n<li>Experienced configuring and troubleshooting InfiniBand (IB), RoCE, CLOS fabrics, 100GbE, Ethernet/switching, GPU-direct, and NCCL environments</li>\n<li>Solid understanding of Python and Go, with experience working with SWE teams to improve internal tooling</li>\n<li>Experience with monitoring and alerting tools (e.g., Prometheus, Grafana, Clickhouse)</li>\n<li>Proficiency in automation and configuration management tools (e.g., Ansible, Terraform)</li>\n<li>Excellent problem-solving and troubleshooting skills and an innate attention to detail</li>\n<li>Passion for continuous improvement and innovation</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience with machine learning / deep learning frameworks (PyTorch, TensorFlow) and benchmarking tools (DeepSpeed, MLPerf)</li>\n<li>Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes)</li>\n<li>Experience building and/or operating HPC resources</li>\n<li>Depth in the NVIDIA hardware and firmware ecosystem</li>\n<li>Experience with data center power and thermal design</li>\n<li>Background in chaos engineering or similar reliability testing methodologies</li>\n<li>Understanding of compliance frameworks (SOC 2, ISO 27001, etc.)</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/d4e6f207-73c3-43d1-aa4b-d840ad2254d4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/d4e6f207-73c3-43d1-aa4b-d840ad2254d4","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$227K - $356K","x-skills-required":["Python","Go","Linux","InfiniBand","RoCE","NCCL","GPU-direct","Ansible","Terraform","Prometheus","Grafana","Clickhouse"],"x-skills-preferred":["PyTorch","TensorFlow","DeepSpeed","MLPerf","Docker","Kubernetes","NVIDIA hardware and firmware ecosystem"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-01T17:47:02.431Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, Linux, InfiniBand, RoCE, NCCL, GPU-direct, Ansible, Terraform, Prometheus, Grafana, Clickhouse, PyTorch, TensorFlow, DeepSpeed, MLPerf, Docker, Kubernetes, NVIDIA hardware and firmware ecosystem","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":227000,"maxValue":356000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0aecd4c6-934"},"title":"Senior Counsel - Commercial","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>As Senior Counsel - Commercial, you&#39;ll join a lean, high-impact legal team where your work will immediately shape how Lambda scales. You will partner closely with senior leaders across the company to support complex, high-value deals while helping bring additional execution capacity to a fast-moving commercial legal function.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Draft, review, and negotiate a broad range of high-value commercial agreements including customer contracts, data center service provider agreements, partner and reseller agreements, distributor arrangements, and marketing partnerships.</li>\n<li>Partner with the AGC to own and manage enterprise deal negotiations.</li>\n<li>Collaborate cross-functionally with Sales, Marketing, Product, and Finance teams to enable deals while ensuring appropriate legal risk management.</li>\n<li>Advise on contract structure and associated risks, ensuring alignment with organisational goals and legal requirements.</li>\n<li>Use legal technology and automation tools to streamline contracting processes, compliance tracking, and knowledge management.</li>\n<li>Identify and own improvements to the team&#39;s operations, templates, and playbooks.</li>\n<li>Operate independently and provide practical, decisive guidance to our business teams that balances business objectives with legal risk.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>J.D. degree from an accredited law school and membership in at least one U.S. state bar.</li>\n<li>10+ years of legal experience, with at least 3 years in-house (ideally in the technology, cloud infrastructure, or SaaS sector).</li>\n<li>Extensive experience drafting and negotiating complex commercial transactions on the buy-side and sell-side.</li>\n<li>Growth mindset, enjoys working in a fast-paced environment and managing multiple concurrent projects and tasks to completion within the required time frame.</li>\n<li>Interest in growing your impact and responsibilities over time.</li>\n<li>Team mentality with the flexibility to address unique issues in real-time and the awareness to know when to bring in others.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience in infrastructure-as-a-service industry.</li>\n<li>Familiarity with privacy, data security, and/or compliance frameworks (e.g., SOC 2, ISO 27001) is strongly preferred.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation.</li>\n<li>Health, dental, and vision coverage for you and your dependents.</li>\n<li>Wellness and commuter stipends for select roles.</li>\n<li>401k Plan with 2% company match (USA employees).</li>\n<li>Flexible paid time off plan.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/dfd5e33b-da53-4a9e-a0e3-307d5efbd307","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/dfd5e33b-da53-4a9e-a0e3-307d5efbd307","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$210K - $305K","x-skills-required":["J.D. degree","membership in at least one U.S. state bar","10+ years of legal experience","extensive experience drafting and negotiating complex commercial transactions"],"x-skills-preferred":["infrastructure-as-a-service industry","privacy","data security","compliance frameworks (e.g., SOC 2, ISO 27001)"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-12T20:58:51.527Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Legal","industry":"Technology","skills":"J.D. degree, membership in at least one U.S. state bar, 10+ years of legal experience, extensive experience drafting and negotiating complex commercial transactions, infrastructure-as-a-service industry, privacy, data security, compliance frameworks (e.g., SOC 2, ISO 27001)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":210000,"maxValue":305000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_78fdc98e-9bb"},"title":"Technical Accounting/SEC Reporting Lead","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead technical accounting research and prepare memos for complex, non-routine transactions in accordance with U.S. GAAP</li>\n<li>Analyze accounting implications of significant transactions, including revenue, equity, debt, business combinations, leases, and stock-based compensation</li>\n<li>Partner cross-functionally (Legal, Tax, FP&amp;A, Treasury) to assess accounting impacts and provide guidance ahead of execution</li>\n<li>Develop and maintain accounting policies; evaluate and implement new FASB and SEC guidance in preparation for public company readiness</li>\n<li>Support IPO readiness efforts, including drafting technical disclosures, assisting with S-1/10-K preparation, and enhancing financial statement presentation</li>\n<li>Assist with consolidated financial statement preparation, footnotes, and reporting package reviews to ensure accuracy and SEC compliance</li>\n<li>Support external audits and SOX readiness by preparing documentation, strengthening controls, and improving close and reporting processes</li>\n<li>Contribute to M&amp;A, system implementations, and other strategic initiatives to support company growth</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bachelor’s degree in Accounting, Finance, or related field</li>\n<li>4+ years of experience in technical accounting, preferably within a Big 4 firm and/or a publicly traded company</li>\n<li>Active CPA required</li>\n<li>Strong knowledge of the U.S. GAAP with experience analyzing complex and non-routine transactions (e.g., revenue recognition, leases, equity, debt, business combinations)</li>\n<li>Proven ability to research accounting guidance and prepare clear, well-supported technical accounting memos</li>\n<li>Understanding of SEC reporting and disclosure requirements</li>\n<li>Experience partnering cross-functionally to assess accounting implications of business initiatives</li>\n<li>Familiarity with ERP and reporting tools (e.g., NetSuite, Workiva)</li>\n<li>Advanced Excel skills and strong analytical capabilities</li>\n<li>Excellent written and verbal communication skills, with the ability to translate technical guidance into practical recommendations</li>\n<li>Detail-oriented, proactive, and comfortable operating in a fast-paced environment</li>\n</ul>\n<p><strong>Nice to Haves</strong></p>\n<ul>\n<li>Big 4 audit or accounting advisory experience with strong technical accounting expertise</li>\n<li>Deep knowledge of ASC 606 (revenue), ASC 842 (leases), and ASC 718 (stock-based compensation), including memo preparation and policy development</li>\n<li>Experience with pre-IPO technical matters, including equity instruments, preferred stock, warrants, EPS, and SEC reporting considerations</li>\n<li>Strong understanding of the U.S. GAAP financial reporting, including preparation and review of financial statements and footnote disclosures</li>\n<li>Experience supporting IPO readiness, S-1/10-K preparation, and PCAOB audits</li>\n<li>Background in high-growth, pre-IPO or public technology companies (SaaS/AI preferred)</li>\n<li>Exposure to M&amp;A and purchase accounting, particularly in revenue and equity-related areas</li>\n<li>Demonstrated ability to strengthen controls and build scalable accounting processes in fast-paced environments</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/e0f23169-bd46-4f9b-9391-a044124a11b9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/e0f23169-bd46-4f9b-9391-a044124a11b9","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$169K - $225K","x-skills-required":["U.S. GAAP","technical accounting","CPA","SEC reporting","financial analysis","Excel","analytical skills","communication skills"],"x-skills-preferred":["ASC 606","ASC 842","ASC 718","pre-IPO technical matters","equity instruments","preferred stock","warrants","EPS","PCAOB audits","M&A","purchase accounting"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":["CPA"],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-12T18:15:05.114Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"U.S. GAAP, technical accounting, CPA, SEC reporting, financial analysis, Excel, analytical skills, communication skills, ASC 606, ASC 842, ASC 718, pre-IPO technical matters, equity instruments, preferred stock, warrants, EPS, PCAOB audits, M&A, purchase accounting","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":169000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_db0dfc41-f68"},"title":"Staff Technical Program Manager - IT","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda&#39;s designated work from home day is currently Tuesday</p>\n<p>Business Technology at Lambda builds and scales the internal systems that power our business. We partner across the company with Finance, GTM, Engineering, and People to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope spans enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT. We are hiring an IT Technical Program Manager to run the programs that make this portfolio move. You will be the first dedicated program management hire in Business Technology, building our portfolio operating model from the ground up: intake, prioritization, delivery cadence, and change management discipline.</p>\n<p>Business Technology is delivering a business transformation with roughly ten new enterprise systems this year and a growing integration and data footprint. You will drive cross-functional programs from kickoff through go-live and hypercare, and be the connective tissue between our five pillars: Finance Systems, GTM Systems, Data Platform and Analytics, IT Operations, and People Technology.</p>\n<p>This is a hands-on delivery role for someone who runs programs with rigor, communicates crisply to executives, and holds vendors, partners, and internal teams accountable to dates. You will personally carry our largest programs while building the lightweight structures that make every subsequent program faster.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Program Delivery: Own end-to-end program management for major system implementations across ERP, procurement, EPM, HRIS, treasury, and identity, coordinating internal teams, implementation partners, and vendors from contract signature through cutover, hypercare, and stabilization.</li>\n<li>Roadmap Operations: Run the Business Technology roadmap: maintain the portfolio plan, manage a unified intake and prioritization process, surface dependencies and resource conflicts across pillars, and keep the roadmap honest against team capacity.</li>\n<li>Portfolio Governance: Stand up lightweight portfolio governance: stage gates proportionate to program risk, RAID and decision logs, and a portfolio health view that gives the COO and CFO real-time visibility across all five pillars.</li>\n<li>SOX Program: Serve as the program manager for Business Technology&#39;s SOX ITGC readiness workstream: track control design and remediation milestones across in-scope systems (ERP, procurement, EPM, HRIS, identity), coordinate evidence requests with external auditors and advisors, and report readiness status against the design readiness deadline.</li>\n<li>Program Cadence: Build and operate the operating rhythm: weekly status, steering committees, executive readouts, and escalation paths that resolve blockers in days.</li>\n<li>Change Management: Design and operationalize formal change management for Business Technology systems, including release calendars, freeze windows, and evidence capture that satisfies ITGC requirements. Partner with our SOX and compliance programs so control design milestones are built into program plans rather than bolted on at the end.</li>\n<li>Cutover &amp; Go-Live: Drive cutover and go-live planning: UAT tracking, readiness reviews, hypercare exit criteria, and post-launch retrospectives that actually change how the next program runs.</li>\n<li>Vendor &amp; Partner Management: Manage implementation partner and vendor delivery: SOW milestones, burn tracking, change orders, and holding partners to committed outcomes.</li>\n<li>Executive Communication: Communicate program status to COO, CFO, and Audit Committee audiences with clarity: what shipped, what slipped, why, and what we are doing about it.</li>\n<li>AI-Enabled Program Operations: Continuously improve how Business Technology delivers: templates, playbooks, and tooling (Jira, Google Workspace, AI-assisted status collection and reporting) that reduce program overhead and make delivery faster.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Experience: 8+ years in technical program management, with at least 4 years running enterprise application or business systems programs (ERP, CRM, HCM, procurement, EPM, or data platform).</li>\n<li>Technical Fluency: Fluent enough in systems architecture, integrations, and data flows to challenge a technical plan, spot a hidden dependency, and know when an estimate is wrong.</li>\n<li>Compliance &amp; Controls: Have operated in a SOX or audit-facing environment and understand why change management, access controls, and evidence matter to a program plan. Experience working with external auditors is a strong plus.</li>\n<li>Operating Rigor: Run a tight operating cadence by default. Your programs have a single source of truth, current RAID logs, and no surprises in steering.</li>\n<li>Builder Orientation: Comfortable defining process from zero. You can take a team that runs on tribal knowledge and give it intake, prioritization, and delivery discipline without adding bureaucracy.</li>\n<li>Communication: Communicate exceptionally well upward and sideways. You can compress a messy multi-workstream program into one slide a CFO trusts.</li>\n<li>Adaptability: Comfortable with ambiguity and velocity. Priorities shift at a pre-IPO company, and you re-plan without drama.</li>\n<li>Attitude: An enthusiastic, go-for-it attitude. When you see a program drifting, you can&#39;t help but grab it.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Direct experience with our stack: NetSuite, Salesforce, Coupa, Workday, Pigment, Workato, Okta, Lumos, BigQuery.</li>\n<li>Pre-IPO or IPO readiness program experience, including ITGC remediation or Audit Committee reporting.</li>\n<li>Experience with enterprise AI governance: tool approval workflows, AI inventory management, or build-vs-buy frameworks for AI-native applications.</li>\n<li>Experience using AI tooling to automate status collection, reporting, and program hygiene.</li>\n<li>PMP, PgMP, or SAFe credentials (useful, not required; judgment beats certification).</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/97c2c56b-5088-48c2-88c2-cd6702ebdb67","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/97c2c56b-5088-48c2-88c2-cd6702ebdb67","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$278K - $325K","x-skills-required":["technical program management","enterprise application","business systems","SOX","audit-facing environment","change management","access controls","evidence"],"x-skills-preferred":["NetSuite","Salesforce","Coupa","Workday","Pigment","Workato","Okta","Lumos","BigQuery","AI governance","AI tooling"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-21T17:19:20.501Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"technical program management, enterprise application, business systems, SOX, audit-facing environment, change management, access controls, evidence, NetSuite, Salesforce, Coupa, Workday, Pigment, Workato, Okta, Lumos, BigQuery, AI governance, AI tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":278000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_37e3b63a-7be"},"title":"Senior Site Reliability Engineer - Storage","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p>Lambda&#39;s Storage Engineering team is the backbone behind our world-class storage offerings, operating at a scale seldom seen in today&#39;s markets. We own the full spectrum of Lambda&#39;s data platform services,from low-level storage systems to the APIs and tooling our customers build on every day. Our work directly powers some of the most demanding compute workloads in the industry, which means reliability and performance aren&#39;t just goals,they&#39;re the baseline.</p>\n<p>We&#39;re looking for engineers who want to solve problems at scale, own critical systems end to end, and help shape the future of infrastructure for AI and beyond.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the reliability, performance, and capacity health of Lambda&#39;s production storage fleet across all data centers, operating behind Lambda&#39;s own software-defined data plane.</li>\n<li>Build and maintain monitoring, dashboards, and alerting for storage performance, capacity, and hardware failures.</li>\n<li>Investigate and resolve storage-related incidents using deep telemetry, logs, and performance profiling , from a single flapping NIC to a cluster-wide rebuild.</li>\n<li>Automate ticketing, escalation, and incident-response workflows so the team spends less time on repetitive triage and more time on root cause.</li>\n<li>Design and maintain self-healing automation for common failure modes: drive replacement, node swaps, rebuild monitoring, and capacity rebalancing.</li>\n<li>Implement CI/CD pipelines for storage automation and tooling.</li>\n<li>Partner with Storage Engineers, Fleet Orchestration, and Release Engineering to automate the deployment and configuration of software-defined storage across new and existing sites using tools such as Ansible, Jenkins etc.</li>\n<li>Work with hardware and networking teams to diagnose low-level I/O and network issues , NIC errors, RDMA/RoCE/InfiniBand fabric health, path multipathing , that surface as storage-layer symptoms.</li>\n<li>Participate in an on-call rotation supporting Lambda&#39;s storage fleet, with a focus on driving down MTTR and building the automation that keeps you from getting paged for the same thing twice.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of experience operating Linux systems in production or HPC environments, with hands-on storage experience at scale on scale-out or software-defined platforms (e.g., CEPH, Lustre, GPFS, or similar).</li>\n<li>Hands-on experience operating Software-Defined Storage (SDS) platforms at scale, including integrating with their management and data-plane APIs.</li>\n<li>Strong incident-response instincts: comfortable owning a production storage incident end to end, from first alert through root cause to postmortem.</li>\n<li>Working experience with monitoring and logging platforms such as Prometheus, Grafana, Alertmanager, Datadog, or SumoLogic , including building dashboards and alert/pager routing for multiple audiences.</li>\n<li>Working experience with Kubernetes (GitOps tooling such as ArgoCD, Helm/Kustomize) and hands-on troubleshooting.</li>\n<li>Working experience with CI/CD tooling (GitHub Actions, Jenkins, BuildKite), containerization (Docker/Podman), and systems programming in Python or Go.</li>\n<li>Working experience with Infrastructure as Code (Terraform, Ansible).</li>\n<li>Solid understanding of core storage protocols across file (NFS, SMB), object (S3), block (NVMe-oF/TCP), and structured (vector DB, SQL) storage.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with cutting-edge software-defined storage solutions such as VAST or Weka.</li>\n<li>Enterprise storage expertise in solutions such as NetApp, Dell PowerScale, GPFS, or Lustre.</li>\n<li>Experience writing or operating Kubernetes CSI drivers.</li>\n<li>Experience with SR-IOV and virtualization (KVM/QEMU).</li>\n<li>Experience with GPUDirect Storage, RDMA, InfiniBand, or RoCE networking.</li>\n<li>Familiarity with NIC-level diagnostics (ethtool, mlxlink) and fleet-wide operations tooling (clush or similar).</li>\n<li>Contributions to open-source storage projects.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/d910e6b0-300f-4ebc-89f5-ba5adc9a3bfe","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/d910e6b0-300f-4ebc-89f5-ba5adc9a3bfe","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$267K - $356K","x-skills-required":["Linux","Software-Defined Storage","Incident Response","Prometheus","Grafana","Kubernetes","CI/CD","Python","Go","Terraform","Ansible","NFS","SMB","S3","NVMe-oF/TCP","SQL"],"x-skills-preferred":["VAST","Weka","NetApp","Dell PowerScale","GPFS","Lustre","Kubernetes CSI drivers","SR-IOV","KVM/QEMU","GPUDirect Storage","RDMA","InfiniBand","RoCE","ethtool","mlxlink"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-10T18:43:02.426Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Linux, Software-Defined Storage, Incident Response, Prometheus, Grafana, Kubernetes, CI/CD, Python, Go, Terraform, Ansible, NFS, SMB, S3, NVMe-oF/TCP, SQL, VAST, Weka, NetApp, Dell PowerScale, GPFS, Lustre, Kubernetes CSI drivers, SR-IOV, KVM/QEMU, GPUDirect Storage, RDMA, InfiniBand, RoCE, ethtool, mlxlink","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":267000,"maxValue":356000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c543172e-f41"},"title":"Commodity Sourcing Manager – AI Infrastructure","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>We are seeking an experienced Commodity Sourcing Manager to own sourcing strategy, supplier negotiations, and supply assurance for critical commodities across our rapidly growing AI Data Center Supply Chain. This individual contributor role owns the end-to-end commercial and sourcing relationship for a defined commodity or set of commodities within the AI compute ecosystem , spanning categories such as custom silicon, GPUs/CPUs, network hardware, power and cooling infrastructure (CDUs, PDUs, racks), and memory/storage.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Commodity Sourcing Strategy: Own and execute sourcing strategy for assigned commodities within the AI infrastructure stack, which may include custom silicon, GPUs/CPUs, network hardware, power/cooling infrastructure, memory/storage, or other hardware categories that go into a GPU rack.</li>\n<li>Develop category strategies aligned to roadmap requirements, capacity forecasts, and long-term infrastructure growth, regardless of the specific technology domain.</li>\n<li>Identify and drive supply diversification, second-source development, and risk mitigation plans for constrained or fast-scaling categories.</li>\n<li>Build and maintain market intelligence across assigned commodities, including supply/demand dynamics, capacity constraints, technology roadmaps, and competitive landscape.</li>\n<li>Quickly ramp technical and market fluency in new commodity areas as business needs and assignments evolve.</li>\n</ul>\n<p><strong>Commercial Negotiation &amp; Contracting</strong></p>\n<ul>\n<li>Lead commercial negotiations with hardware and component suppliers, including master supply and purchase agreements, capacity commitments and allocation frameworks, pricing, cost-downs, and cost structures.</li>\n<li>Build and execute negotiation strategies that balance cost, supply security, and flexibility, applying consistent commercial rigor across different commodity types.</li>\n<li>Partner with Legal and Finance to structure and finalize contracts and commercial terms.</li>\n</ul>\n<p><strong>Supplier Management</strong></p>\n<ul>\n<li>Manage day-to-day and executive-level relationships with strategic suppliers across assigned commodities.</li>\n<li>Lead supplier business reviews, scorecards, escalation management, and performance improvement plans.</li>\n<li>Partner with suppliers on capacity planning, allocation, roadmap alignment, and supply readiness.</li>\n</ul>\n<p><strong>CROSS-FUNCTIONAL PARTNERSHIP</strong></p>\n<ul>\n<li>Partner with Engineering and Hardware teams to translate technical and roadmap requirements into sourcing and commercial strategies, regardless of the underlying technology.</li>\n<li>Work with Supply Chain Planning to align supplier capacity and lead times with demand forecasts.</li>\n<li>Support new product introductions, qualification timelines, and capacity ramps across GPU rack-level hardware.</li>\n</ul>\n<p><strong>Risk, Cost &amp; Supply Resilience</strong></p>\n<ul>\n<li>Develop and maintain supply continuity plans that address cost optimization, capacity availability and allocation risk, lead-time and component-level constraints, geographic and geopolitical risk, and supplier financial and operational risk.</li>\n<li>Proactively identify and mitigate supply risk across assigned commodities, adapting risk frameworks to the specific dynamics of each category.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>8+ years of experience in Commodity Management, Strategic Sourcing, Procurement, or Supply Chain roles, with experience across one or more hardware or component categories relevant to data center or compute infrastructure.</li>\n<li>Demonstrated experience negotiating and managing supply agreements with hardware component manufacturers, OEMs, or ODMs.</li>\n<li>Ability to quickly build technical fluency in new commodity or technology areas.</li>\n<li>Proven track record leading complex commercial negotiations and delivering measurable cost and supply outcomes.</li>\n<li>Strong analytical, financial, and business acumen.</li>\n<li>Experience operating in constrained, long-lead-time, high-growth supply environments.</li>\n<li>Ability to build effective relationships with senior supplier stakeholders and internal cross-functional partners.</li>\n</ul>\n<p><strong>Nice To Have</strong></p>\n<ul>\n<li>Experience sourcing across multiple commodity types within AI/ML or hyperscale data center infrastructure.</li>\n<li>Demonstrated versatility moving between commodity domains over the course of a career, rather than deep specialization in a single technology.</li>\n<li>Experience supporting hyperscale data center or AI infrastructure programs.</li>\n<li>Background partnering with hardware/systems engineering teams on NRE, qualification, or co-development agreements.</li>\n<li>Bachelor&#39;s degree in Engineering, Supply Chain, Business, or related field; advanced degree a plus.</li>\n</ul>\n<p><strong>What We Offer</strong></p>\n<ul>\n<li>Competitive salary: $203K - $271K</li>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/f349200b-3a76-4721-9b16-2b469ee5d5f5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/f349200b-3a76-4721-9b16-2b469ee5d5f5","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$203K - $271K","x-skills-required":["Commodity Management","Strategic Sourcing","Procurement","Supply Chain","Negotiation","Contracting","Supplier Management"],"x-skills-preferred":["AI/ML","Hyperscale data center","Hardware engineering","NRE","Qualification","Co-development agreements"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-04T16:27:00.245Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Logistics & Supply Chain","industry":"Technology","skills":"Commodity Management, Strategic Sourcing, Procurement, Supply Chain, Negotiation, Contracting, Supplier Management, AI/ML, Hyperscale data center, Hardware engineering, NRE, Qualification, Co-development agreements","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":203000,"maxValue":271000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0e712403-6c0"},"title":"Senior Solution Engineer","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>The Lambda Cloud GTM team powers our growth by enabling customers to realize their business goals with AI infrastructure. We partner with leading AI researchers and enterprise engineering teams to design, scale, and optimize high-performance GPU cloud solutions. Driven by technical mastery, agility, and a customer-first mindset, our team turns massive compute challenges into seamless, production-ready AI infrastructure.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Drive technical sales &amp; executive influence</li>\n<li>Partner with Account Executives to lead complex deals with large enterprises and digital native businesses and build trusted relationships with technical leaders (CTOs, Heads of AI/ML, Platform Leads)</li>\n<li>Evaluate customer architectural needs, uncover potential bottlenecks, and design end-to-end GPU cloud solutions</li>\n<li>Author comprehensive proposals &amp; architecture diagrams and collaborate with teams on Bill of Materials (BOMs), and rack elevations for multi-node GPU clusters</li>\n<li>Lead hands-on proof-of-concept (PoC) activities &amp; benchmarking for customers</li>\n<li>Design, execute, and deliver technical PoCs and custom prototypes to demonstrate Lambda’s performance, reliability, and value</li>\n<li>Run benchmark evaluations across training and inference workloads to show tangible performance and cost advantages over competitors</li>\n<li>Architect &amp; optimize AI/ML workloads</li>\n<li>Guide enterprise engineering teams on structuring their AI lifecycle,from data ingestion and distributed training (SLURM, Kubernetes) to inference optimization (vLLM, TensorRT-LLM) and observability</li>\n<li>Provide architectural guidance on high-performance networking (InfiniBand, RoCE), distributed storage, and cluster topologies to ensure maximum GPU utilization</li>\n<li>Champion customer feedback &amp; product advocacy</li>\n<li>Serve as the technical voice of the customer internally, funneling field insights, product gaps, and feature requests directly to Lambda’s Product and Engineering teams</li>\n<li>Create field enablement assets, technical whitepapers, architectural blueprints, and lead technical workshops for prospective clients &amp; partners</li>\n<li>Represent Lambda as a subject matter expert at industry conferences, webinars, and technical community events</li>\n<li>Reinforce Lambda’s culture</li>\n<li>Contribute positively throughout the organization</li>\n<li>Maintain a high level of agility and responsiveness</li>\n<li>Hyper-focused on customer satisfaction</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Proven track record deploying, benchmarking, and optimizing workloads on NVIDIA GPU architectures (e.g., HGX platforms, NVLink) using deep learning frameworks (PyTorch, NeMo) and inference engines (vLLM, TensorRT-LLM)</li>\n<li>8+ years of experience designing, deploying, and scaling enterprise cloud infrastructure</li>\n<li>4+ years in a Solution Architect, Solution Engineer, or technical customer-facing capacity supporting complex cloud environments</li>\n<li>3+ years of hands-on experience architecting and deploying cloud-based AI/ML workloads</li>\n<li>Strong experience with modern infrastructure orchestration tools such as Kubernetes, Docker, SLURM, Terraform, and Ansible</li>\n<li>Deep knowledge of cloud networking concepts, including high-speed interconnects (InfiniBand, RoCE), distributed file systems (NFS, NVMe-oF, Weka, VAST), security, and cost optimization</li>\n<li>Experience coding in Python, Go, C/C++ (CUDA) or similar programming language</li>\n<li>Experience partnering with Account Executives to close complex cloud deals, present technical architectures to C-level stakeholders (CTOs, VP of Eng), and drive customer alignment</li>\n<li>Demonstrated impact at an organizational/multi-departmental level and are effective mentoring junior SEs or architects</li>\n<li>Thrive in dynamic settings and embrace radical ownership of initiatives and outcomes</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Direct experience with end-to-end LLM fine-tuning, algorithm selection, pipeline design, or distributed training setups (3D parallelism, Megatron-LM)</li>\n<li>Prior experience with product launches, leading GTM initiatives, or publishing technical whitepapers/benchmarks</li>\n<li>Experience integrating RESTful APIs, gRPC, and service-oriented cloud architectures</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/061cf79b-0e95-4082-8805-5822499441f1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/061cf79b-0e95-4082-8805-5822499441f1","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$226K - $355K","x-skills-required":["NVIDIA GPU architectures","deep learning frameworks","inference engines","Kubernetes","Docker","SLURM","Terraform","Ansible","Python","Go","C/C++","CUDA"],"x-skills-preferred":["end-to-end LLM fine-tuning","algorithm selection","pipeline design","distributed training setups","product launches","GTM initiatives","technical whitepapers/benchmarks","RESTful APIs","gRPC","service-oriented cloud architectures"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-03T22:30:52.901Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"NVIDIA GPU architectures, deep learning frameworks, inference engines, Kubernetes, Docker, SLURM, Terraform, Ansible, Python, Go, C/C++, CUDA, end-to-end LLM fine-tuning, algorithm selection, pipeline design, distributed training setups, product launches, GTM initiatives, technical whitepapers/benchmarks, RESTful APIs, gRPC, service-oriented cloud architectures","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":226000,"maxValue":355000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_43e6b155-fb4"},"title":"Senior Software Engineer - SDN","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.</p>\n<p>We are looking for an experienced Software Engineer to help design and build the next generation of our network platform. In this role, you will develop the systems, services, and automation that power our software-defined network across data centers and cloud environments.</p>\n<p>You will work deeply within the Linux networking stack, build SDN integrations, and create the tools and services that make our network programmable, reliable, and scalable.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and build software to scale Lambda’s high performance multi-tenant cloud network</li>\n<li>Develop reproducible automation and tooling for network configuration and deployments</li>\n<li>Implement and operate Software Defined Networking services and related control-plane software</li>\n<li>Engineer highly available network services through observability, failover, and redundancy features</li>\n<li>Deliver predictable networking performance for clients via software-driven network engineering solutions</li>\n<li>Develop, integrate, and maintain network monitoring and management tools and services</li>\n<li>Participate in on-call and contribute to incident response tooling and automation</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of professional software engineering experience, ideally in systems, infrastructure, or networking-focused domains</li>\n<li>Demonstrated experience designing and implementing production-scale Software Defined Networking (SDN) systems, ideally with AWS VPC–like functionality (e.g., routing, security groups, overlays, peering)</li>\n<li>Hands-on experience building and maintaining SDN platforms using technologies such as OpenStack Neutron, OVN, or similar network virtualization frameworks</li>\n<li>Deep understanding of the Linux networking stack, including namespaces, routing, iptables/nftables, network virtualization, SR-IOV, and DPDK, with the ability to reason from a systems programming perspective</li>\n<li>Proficiency with the Linux command line and strong understanding of networking concepts from a software engineering viewpoint</li>\n<li>Experience working with multi–data center and hybrid cloud networking environments, with an emphasis on automation and software-driven control planes</li>\n<li>5+ years of software development experience in C, Go, or Python for building network services, tooling, and automation</li>\n<li>Experience working with CI/CD pipelines, automated testing, and deployment systems; strong familiarity with Git, and experience operating in GitOps-driven environments for infrastructure or network configuration</li>\n<li>Prior involvement in on-call rotations, incident response, and building tools to improve network or system reliability</li>\n<li>Experience deploying, operating, and automating applications on Kubernetes, including building supporting services or tooling for networking and lifecycle management</li>\n</ul>\n<p><strong>Nice To Have</strong></p>\n<ul>\n<li>Experience automating network configuration within public clouds using tools like Kubernetes, HELM, Terraform, and Ansible</li>\n<li>Understanding of the SDN ecosystem (e.g. OVS, Neutron, VMware NSX, Cisco ACI or Nexus Fabric Controller, Arista CVP) and how to integrate with it programmatically</li>\n<li>Have experience working with and building automation around Spine and Leaf (Clos) network topology</li>\n<li>Have experience and understanding of BGP EVPN VXLAN networks and have automated their configuration or monitoring</li>\n<li>Experience with building and maintaining multi-data center networks, SD-WAN, DWDM, and related automation</li>\n<li>Experience integrating and automating policy and configuration for Next-Generation Firewalls (NGFW)</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/80953585-1ef8-4073-91fb-75888a61f8c6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/80953585-1ef8-4073-91fb-75888a61f8c6","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$266K - $395K","x-skills-required":["Linux networking stack","Software Defined Networking (SDN)","AWS VPC","OpenStack Neutron","OVN","network virtualization","SR-IOV","DPDK","C","Go","Python","Kubernetes","CI/CD pipelines","Git","GitOps"],"x-skills-preferred":["automating network configuration","public clouds","HELM","Terraform","Ansible","SDN ecosystem","Spine and Leaf (Clos) network topology","BGP EVPN VXLAN networks","multi-data center networks","SD-WAN","DWDM","Next-Generation Firewalls (NGFW)"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-07T17:28:25.974Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Linux networking stack, Software Defined Networking (SDN), AWS VPC, OpenStack Neutron, OVN, network virtualization, SR-IOV, DPDK, C, Go, Python, Kubernetes, CI/CD pipelines, Git, GitOps, automating network configuration, public clouds, HELM, Terraform, Ansible, SDN ecosystem, Spine and Leaf (Clos) network topology, BGP EVPN VXLAN networks, multi-data center networks, SD-WAN, DWDM, Next-Generation Firewalls (NGFW)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":266000,"maxValue":395000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_23c81f62-ceb"},"title":"Senior Software Engineer - Compute","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p>The Compute Software Engineering role plays a key part in the foundation of both the Public and Private Cloud offerings by enabling Bare-Metal and Virtual Machine provisioning.</p>\n<p>In this role you will:</p>\n<ul>\n<li>Develop and integrate workflows for compute instance lifecycle, system health, host and cluster validation, and contribute to and evolve the internal platform tooling, and workflows.</li>\n<li>As part of the Compute Engineering team, this position focuses on improving the bare-metal and VM developer and customer experiences, streamlining the software delivery lifecycle, building, testing, and shipping software efficiently and reliably.</li>\n<li>The position works closely with various engineering teams across the company and contributes directly to Lambda’s ability to scale engineering productivity, maintain high delivery velocity, and support the company’s continued growth by making the right engineering workflows easier, faster, and more reliable.</li>\n</ul>\n<p>We are seeking a Software Engineer with good experience in backbone infrastructure that build, scale and optimize GPU-first cloud infrastructure that enables High Performance Computing and demanding AI workloads.</p>\n<p>In this role you will be responsible for:</p>\n<ul>\n<li>Design, develop and maintain software for GPU/CPU compute infrastructure with focus on performance, scalability, and reliability.</li>\n<li>Implement and develop services for baremetal and VM instancing.</li>\n<li>Develop distributed systems for managing and orchestrating compute resources across various SKU’s.</li>\n<li>Troubleshoot and debug complex issues in a production and development environment.</li>\n<li>On-call and incident ownership</li>\n<li>Collaboration across multiple teams and drive ambiguity in requirements or solutions on RFC’s.</li>\n</ul>\n<p>You:</p>\n<ul>\n<li>5+ years of experience working with Go (Golang) or Python in production environments.</li>\n<li>5+ years of experience with bare metal &amp; virtualization hardware management and configuration.</li>\n<li>Are comfortable working in Linux environments and debugging issues at the OS, hardware, and networking layers.</li>\n<li>Can independently troubleshoot complex systems and communicate effectively across software, infrastructure, and vendor teams.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Familiarity with GPU Infrastructure or high-performance computing environments.</li>\n<li>Experience with Slurm or Kubernetes-based cluster management.</li>\n<li>Experience with core public cloud internals (Virtualization, KVM, QEMU, Security and Fleet health)</li>\n<li>Experience with durable execution platforms like Temporal.</li>\n</ul>\n<p>About Lambda:</p>\n<ul>\n<li>Founded in 2012, with 500+ employees, and growing fast</li>\n<li>Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK &amp; Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove</li>\n<li>We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG</li>\n<li>Our values are publicly available: https://lambda.ai/careers</li>\n<li>We offer generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan that we all actually use</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/0f94de99-5027-4cae-a6d4-757eef2845b6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/0f94de99-5027-4cae-a6d4-757eef2845b6","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$266K - $395K","x-skills-required":["Go","Python","bare metal","virtualization","Linux"],"x-skills-preferred":["GPU Infrastructure","high-performance computing","Slurm","Kubernetes","core public cloud internals","Temporal"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-01T17:47:44.391Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Go, Python, bare metal, virtualization, Linux, GPU Infrastructure, high-performance computing, Slurm, Kubernetes, core public cloud internals, Temporal","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":266000,"maxValue":395000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4a5af1cc-02c"},"title":"Infrastructure & Energy Transaction Counsel","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.</p>\n<p>As Lambda continues its rapid growth, and our data center footprint continues scaling, our legal team is expanding its infrastructure, corporate development, and power capabilities. We are seeking an Infrastructure &amp; Energy Transaction Counsel to serve as a primary deal lawyer on our multi-billion-dollar-scale physical infrastructure investments.</p>\n<p>In this role, you will take end-to-end ownership of the legal structuring, drafting, and negotiation of complex transactions across our portfolio of leased data centers and the data centers we develop ourselves through land and power acquisitions. You&#39;ll partner closely with leaders across strategy, site development, power, engineering, procurement, and finance to execute the infrastructure deals that will shape Lambda&#39;s next chapter of growth.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Deal Negotiation &amp; Structuring: Lead the commercial negotiation and documentation of development deals, complex site leasing, real estate acquisitions, joint ventures as well as real estate and project financing.</li>\n<li>Power &amp; Utility Management: Structure and manage specialized contracts critical to hyperscale deployments, including corporate Power Purchase Agreements, utility interconnection agreements, behind-the-meter generation frameworks, and storage systems.</li>\n<li>Construction &amp; Project Development: Draft, review, and negotiate construction contracts, engineering services agreements, and design-build documents tailored for infrastructure handling gigawatts of power.</li>\n<li>Finance &amp; Incentive Support: Partner with corporate development, tax and other teams to support project finance elements, tax incentives, and intricate lease arrangements that enable massive capital deployment.</li>\n<li>Cross-Functional Collaboration: Align legal risk frameworks closely with technical engineering, security, business development, and strategic financial models.</li>\n<li>Outside Counsel Oversight: Direct and manage specialized outside counsel on complex regulatory or regional matters while maintaining strictly focused in-house strategic judgment.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>6+ years of legal experience running complex commercial transactions, ideally split between an elite AmLaw law firm and an innovative, fast-moving infrastructure or technology company.</li>\n<li>Deep infrastructure expertise with a proven track record of managing a heavy workload, prioritizing risk efficiently, and closing multi-hundred-million- and billion-dollar transactions on accelerated schedules.</li>\n<li>Strong technical and energy market literacy, displaying a clear understanding of data centers, wholesale electricity markets, utility interconnections, and emerging AI hardware stacks.</li>\n<li>Solution-oriented commercial mindset with an ability to demonstrate sound, definitive judgment in high-stakes, highly ambiguous situations.</li>\n<li>Elite communication abilities, with a demonstrated capacity to accurately and concisely bridge technical engineering needs with legal protections.</li>\n<li>A JD from an accredited law school and an active bar membership in at least one U.S. state.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/fbfaab3b-9803-4ce6-9501-1e9a6ed77288","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/fbfaab3b-9803-4ce6-9501-1e9a6ed77288","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$229K - $305K","x-skills-required":["Power Purchase Agreements","utility interconnection agreements","construction contracts","engineering services agreements","project finance","tax incentives"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-01T02:08:19.194Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Legal","industry":"Technology","skills":"Power Purchase Agreements, utility interconnection agreements, construction contracts, engineering services agreements, project finance, tax incentives","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":229000,"maxValue":305000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a869cdbe-d8a"},"title":"Senior HPC Systems Architect","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p>Architecture leads the design, development, and execution of next-generation GPU clusters. Our team gets first access to the latest technologies and is responsible for translating emerging platform capabilities into scalable, production-ready infrastructure. Our scope spans from rack and pod level system arrangement that maximizes the data center power footprint, to right-sizing compute fabrics that meet the most demanding customer workloads. We work at the intersection of GPU systems, high-performance networking, power and cooling, data center design, and customer-scale AI infrastructure.</p>\n<p>We&#39;re looking for a Senior HPC Systems Architect with extensive experience designing, developing, and testing large-scale high-performance computing (HPC) infrastructures. This strategic role focuses on crafting cutting-edge liquid-cooled HPC solutions.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and architect advanced HPC systems optimized for large-scale computational workloads and AI applications.</li>\n<li>Collaborate with internal teams and stakeholders to define system requirements and performance goals.</li>\n<li>Develop comprehensive testing frameworks to rigorously assess system performance, scalability, and reliability.</li>\n<li>Evaluate emerging technologies and architectural approaches to continuously enhance infrastructure capabilities.</li>\n<li>Create detailed architectural plans, documentation, and blueprints to guide implementation teams.</li>\n<li>Provide technical leadership and mentoring to engineering teams, fostering best practices in HPC architecture.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>8+ years of experience designing and architecting large-scale HPC and distributed computing systems.</li>\n<li>Expert-level knowledge of HPC hardware including GPU clusters, compute nodes, high-speed networking (InfiniBand, Ethernet), and distributed storage.</li>\n<li>Hands-on experience with direct-to-chip liquid cooling systems.</li>\n<li>Proven expertise in creating robust performance benchmarks, capacity planning, and system validation.</li>\n<li>Exceptional skills in system architecture, design documentation, and technical specifications.</li>\n<li>Ability to work collaboratively across teams, ensuring alignment of technical solutions with business objectives.</li>\n<li>Self-motivated, strategic thinker with strong analytical and problem-solving capabilities.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Prior experience with AI infrastructure design.</li>\n<li>Familiarity with cloud computing environments and hybrid cloud HPC architectures.</li>\n<li>Knowledge of automation and orchestration tools (Ansible, Terraform, Kubernetes).</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/ca617948-e0eb-46fc-afef-fbd91f5cb1a1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/ca617948-e0eb-46fc-afef-fbd91f5cb1a1","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$296K - $395K","x-skills-required":["HPC hardware","GPU clusters","high-performance networking","distributed storage","liquid cooling systems","performance benchmarks","capacity planning","system validation"],"x-skills-preferred":["AI infrastructure design","cloud computing environments","hybrid cloud HPC architectures","automation and orchestration tools"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-27T19:09:38.594Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"HPC hardware, GPU clusters, high-performance networking, distributed storage, liquid cooling systems, performance benchmarks, capacity planning, system validation, AI infrastructure design, cloud computing environments, hybrid cloud HPC architectures, automation and orchestration tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":296000,"maxValue":395000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d66375e5-c98"},"title":"Internal Tools & Data Product Analyst","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>As companies scale, the gap between what leadership needs to see and what teams can easily report grows , dashboards get built by hand, workflows stay stuck in spreadsheets, and requests for better tooling pile up faster than they get solved.</p>\n<p>The Internal Tools &amp; Data Product Analyst partners with business teams to find where manual work, inconsistent data, or missing tooling is slowing things down, and helps turn that into a shipped fix.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Data Products &amp; Reporting</li>\n<li>Partner with business stakeholders to help define what key metrics actually mean, and support getting agreement on a single trusted source for each one.</li>\n<li>Contribute to requirements for turning manually-built, inconsistent reporting into live, self-serve dashboards suitable for execs , including how someone drills from a summary number into the underlying detail.</li>\n<li>Help prioritize which reports or metrics get automated first, based on how manual, stale, or error-prone they are today.</li>\n</ul>\n<ul>\n<li>Workflow Automation</li>\n<li>Identify manual, spreadsheet-driven work worth automating, and help see the fix through end to end.</li>\n<li>Scope each fix and help decide what to build directly (lightweight scripting, no-code tools, AI-assisted coding) versus what needs a full engineering build.</li>\n<li>Write clear, engineering-ready specs for anything handed off to a technical partner.</li>\n<li>Identify and document places where an AI agent or automation could replace manual coordination, feeding the broader automation roadmap.</li>\n</ul>\n<ul>\n<li>Intake &amp; Prioritization</li>\n<li>Support the tool-request pipeline: help collect requests, triage them, and prioritize based on impact versus effort.</li>\n<li>Help maintain a visible roadmap so stakeholders understand what&#39;s coming next and why.</li>\n<li>Build relationships with the teams you support so priorities stay grounded in what they actually need.</li>\n</ul>\n<p><strong>Success Profile</strong></p>\n<ul>\n<li>Measures of Success</li>\n<li>Reduction in manual, spreadsheet-driven work across supported teams</li>\n<li>Dashboard/reporting trust and adoption</li>\n<li>A tool-request pipeline that is visible, current, and trusted by stakeholders</li>\n<li>Time saved per reporting or workflow cycle</li>\n</ul>\n<ul>\n<li>Requirements</li>\n<li>Early-career product, business operations, analytics, or technical program management experience</li>\n<li>Comfort working directly with data, spreadsheets, and lightweight tooling (SQL, no-code platforms, AI coding assistants)</li>\n<li>Some exposure to designing a workflow or tool from the end user&#39;s point of view, not just the data behind it</li>\n<li>A track record of shipping something , a tool, a process fix, an internal script , rather than only recommending one</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/c0116ab6-9ec2-4189-9f07-e9dd284222b6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/c0116ab6-9ec2-4189-9f07-e9dd284222b6","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$150K - $200K","x-skills-required":["SQL","no-code platforms","AI coding assistants","data analysis","workflow automation"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-24T20:17:25.822Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Data Science","industry":"Technology","skills":"SQL, no-code platforms, AI coding assistants, data analysis, workflow automation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_74d7666f-271"},"title":"Staff Product Manager - Observability","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda&#39;s designated work from home day is currently Tuesday.</p>\n<p><strong>About the Role</strong></p>\n<p>A customer runs distributed training across 64 to 1,024+ GPUs (Graphics Processing Units). When a job slows down, customers need one question answered instantly: is it my code, NCCL (NVIDIA Collective Communications Library) configuration issue, or a bad InfiniBand link? Observability is how Lambda answers that question. It lets customers distinguish their code, their configuration, and our platform in minutes, and that transparency is a core reason teams trust Lambda with their largest training runs.</p>\n<p>This role makes that transparency real. You will be the product manager who owns observability as a product across Lambda&#39;s cloud. That means everything customers see: GPU and cluster health, utilization, job-level telemetry, and InfiniBand fabric metrics. It also means the platform telemetry layer underneath, which powers Lambda&#39;s internal fleet operations and reliability work.</p>\n<p>You will partner daily with SRE (Site Reliability Engineering), fleet engineering, and the console and API (Application Programming Interface) teams to bring one coherent observability experience to customers and operators alike.</p>\n<p>This role reports to the Head of Platform Product Management.</p>\n<p>Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn’t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn’t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate.</p>\n<p>We hire product managers who learn new domains fast and reason rigorously from evidence. Deep observability domain experience is a strong plus, but insight, influence, and execution are the bar.</p>\n<p>If you love turning raw telemetry into products customers rely on, and you want your work to be the reason a research team trusts their 1,024-GPU training run, we&#39;d love to hear from you.</p>\n<p>We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Own the Observability Roadmap: Define and drive the product strategy for observability across Lambda&#39;s cloud, from single On-Demand GPU Instances to 1-Click Clusters at 64 to 1,024+ GPU scale.</li>\n<li>Turn Telemetry into Product: Decide which signals customers see, including GPU and cluster health, utilization, job-level telemetry, and InfiniBand fabric metrics, and how they see them in the console and the Lambda Cloud API.</li>\n<li>Ship Diagnostics That Answer the First Question: Build experiences that let a customer quickly distinguish their own code or configuration issues from platform problems such as a failing node or a degraded InfiniBand link.</li>\n<li>Work Backwards: One of the key things customers want to know is if their application is causing issues or if it is Lambda. If it is Lambda, they want to know if it is within the expected tolerance. You will work with each product to define and productize SLIs, SLOs, and SLAs.</li>\n<li>Build the Platform Telemetry Layer: Partner with SRE and fleet engineering to define the internal telemetry that powers fleet operations and reliability, so one data foundation serves both customers and operators.</li>\n<li>Live with Customers: Spend time with AI research labs, AI startups, and enterprise ML (machine learning) teams to understand how they debug distributed training and inference, and turn that signal into decisions about what to build next.</li>\n<li>Win the Room: Bring engineers, designers, and executives along on your roadmap through clear writing and evidence, not authority.</li>\n<li>Measure and Iterate: Define the success metrics for observability features, instrument adoption, and use the results to decide what ships next.</li>\n<li>Deliver with the Console and API Teams: Drive observability capabilities through to launch across the console, the Lambda Cloud API, and cluster tooling, so customers can consume telemetry however they work.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 7+ years of product management experience, including 3+ years on technical infrastructure, platform, or developer-facing products</li>\n<li>Turn data and customer signal into a clear decision about what to build next, and can show examples where your insight changed a roadmap</li>\n<li>Win over engineers, designers, executives, and customers without formal authority, and have shipped products that required cross-team adoption</li>\n<li>Have taken products from idea through launch, measurement, and iteration, and can speak to what you learned from the metrics after shipping</li>\n<li>Are comfortable in deeply technical conversations about distributed systems, and can hold your own with engineers on topics like metrics pipelines, hardware health, and failure modes</li>\n<li>Can write crisply, so a one-page document from you is enough to align a room</li>\n<li>Are energized by ambiguity, and can be the first product manager to own a domain and give it shape</li>\n<li>Able to define iterative plans that move an organization from the current state towards the desired outcome</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Have shipped monitoring or observability products, such as those in the Datadog, Grafana, or Prometheus class</li>\n<li>Have worked with HPC (high performance computing) or distributed systems telemetry, including interconnect and fabric-level metrics</li>\n<li>Have built developer tools or API-first products</li>\n<li>Have hands-on exposure to distributed training stacks such as PyTorch with NCCL, or to GPU fleet tooling such as DCGM (Data Center GPU Manager)</li>\n<li>Have worked in a usage-based cloud infrastructure business</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/cb7fe04b-0c99-4dbc-afa6-4a05a9c8cac1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/cb7fe04b-0c99-4dbc-afa6-4a05a9c8cac1","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$291K - $430K","x-skills-required":["product management","technical infrastructure","platform","developer-facing products","data analysis","customer signal","distributed systems","metrics pipelines","hardware health","failure modes"],"x-skills-preferred":["monitoring","observability","Datadog","Grafana","Prometheus","HPC","distributed systems telemetry","interconnect and fabric-level metrics","developer tools","API-first products","PyTorch","NCCL","DCGM"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-14T21:11:20.311Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"product management, technical infrastructure, platform, developer-facing products, data analysis, customer signal, distributed systems, metrics pipelines, hardware health, failure modes, monitoring, observability, Datadog, Grafana, Prometheus, HPC, distributed systems telemetry, interconnect and fabric-level metrics, developer tools, API-first products, PyTorch, NCCL, DCGM","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":291000,"maxValue":430000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_323ef4c3-47b"},"title":"Senior Director, Product Management - Platform","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>Every product Lambda ships depends on horizontal capabilities: the security and identity surfaces that let enterprise customers trust us, the telemetry and observability that tells us and our customers what the fleet is doing, and the metering and billing that turns per-minute GPU usage and committed cluster contracts into accurate invoices. When the platform layer is coherent, every Lambda product gets stronger at once. That is the leverage of this role.</p>\n<p>You&#39;ll lead Lambda&#39;s Platform product group as a player-coach. You&#39;ll hire and manage three product managers, one each for Security, Observability, and Billing, all opening now. While you build that team, you&#39;ll personally own platform product strategy: the roadmap, the priorities, and the tradeoffs. You&#39;ll partner directly with platform engineering leadership.</p>\n<p>This is a first-line product management manager role, and you&#39;ll set the bar your team is measured against. Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn’t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn’t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate.</p>\n<p>We hire product managers who learn new domains fast and reason rigorously from evidence. Deep domain depth in cloud platforms makes you stronger, but insight, influence, and execution are the bar.</p>\n<p>Success in this role looks like two things: a platform layer that enterprise customers can trust, and a hired, high-performing product management team that clears the bar you set.</p>\n<p>If you love building the connective tissue of a cloud, and you want to grow product managers while still doing the work yourself, we&#39;d love to hear from you.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build the Team: Hire, manage, and develop the Security, Observability, and Billing product managers, and set the standard for insight, influence, and execution across the Platform product group.</li>\n<li>Own the Roadmap: Define and own the platform roadmap end to end across security, observability, and billing, and hold it accountable to customer and business outcomes.</li>\n<li>Carry the Strategy Yourself: Personally own platform product strategy while the team is being hired, so the roadmap never waits on headcount.</li>\n<li>Strengthen Every Product: Deliver horizontal capabilities that On-Demand GPU Instances, 1-Click Clusters, and the Lambda Cloud API all depend on, rather than one-off features for a single product line.</li>\n<li>Get Metering and Billing Right: Own the product surface for usage-based GPU compute billing, from per-minute on-demand billing to committed multi-node cluster contracts, so every invoice is accurate and explainable.</li>\n<li>Earn Enterprise Trust: Shape the identity and security surfaces that let enterprise ML teams adopt Lambda with confidence.</li>\n<li>Partner with Platform Engineering: Work side by side with platform engineering leadership on sequencing, tradeoffs, and delivery, so strategy and architecture move together.</li>\n<li>Decide with Data: Turn fleet telemetry, usage patterns, and customer signal into clear build decisions, and communicate the what, the so what, and the now what to executives and customers.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 10+ years of product management experience, including experience shipping platform or infrastructure products that other teams build on.</li>\n<li>Have 3+ years hiring and managing product managers, or have formally led product managers as a first-line manager.</li>\n<li>Turn ambiguous data and customer signal into a clear decision about what to build next, and can show where you&#39;ve done it.</li>\n<li>Win engineers, designers, executives, and customers over to your ideas without relying on organizational authority.</li>\n<li>Work with the right people to get products launched, then measure and iterate rather than moving on.</li>\n<li>Are comfortable operating as a player-coach, owning strategy directly while building the team that will own it after you.</li>\n<li>Can go deep with engineering leadership on technical tradeoffs and hold your own in architecture discussions.</li>\n<li>Communicate in writing clearly enough that an executive can act on your document without a follow-up meeting.</li>\n<li>Able to define iterative plans that move an organization from the current state towards the desired outcome.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Have shipped metering, billing, or monetization systems for usage-based products.</li>\n<li>Have built identity, security, or compliance product surfaces for enterprise customers.</li>\n<li>Have built telemetry or observability products, or worked deeply with tools like Prometheus and Grafana.</li>\n<li>Have a background in GPU compute, high performance computing, or AI infrastructure.</li>\n<li>Have built a product team from zero, including writing the job descriptions and running the hiring loops.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/d3cbe760-3c91-4cb1-accf-dca60f0406aa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/d3cbe760-3c91-4cb1-accf-dca60f0406aa","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$365K - $540K","x-skills-required":["cloud platforms","product management","security","observability","billing","GPU compute","AI infrastructure"],"x-skills-preferred":["metering","monetization","identity","compliance","telemetry","Prometheus","Grafana","high performance computing"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-16T00:56:29.690Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"cloud platforms, product management, security, observability, billing, GPU compute, AI infrastructure, metering, monetization, identity, compliance, telemetry, Prometheus, Grafana, high performance computing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":365000,"maxValue":540000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9d08e42f-df4"},"title":"Corporate Development Associate - Digital Infrastructure M&A","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>As Lambda continues its rapid growth, we are expanding our corporate development function to drive strategic growth initiatives, partnerships, and M&amp;A opportunities in data centers and real infrastructure. We are seeking a Corporate Development Associate to play a key role in managing and executing the company’s end-to-end acquisition and strategic investment activities on the real asset / digital infrastructure side of our business.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Support the identification, evaluation, and execution of M&amp;A, strategic investments, and partnerships to expand our portfolio of land-power-shell assets.</li>\n<li>Work cross-functionally with our data center infrastructure, site selection, strategic finance, and legal teams on deal execution.</li>\n<li>Lead financial modeling, valuation analysis, and due diligence on potential transactions.</li>\n<li>Conduct strategic and financial evaluation of M&amp;A and investment opportunities; communicate findings in business case memos and executive presentations.</li>\n<li>Track industry trends, competitive dynamics, and potential market opportunities to inform corporate development strategy, and keep stakeholders updated on the evolving ecosystem.</li>\n<li>Develop investment theses and market analyses to support strategic decision-making.</li>\n<li>Identify and cultivate strategic partnerships that enhance our product offerings, distribution channels, or technology stack.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>4-5 years of M&amp;A experience in investment banking, private equity, or corporate development, with a specific focus on data centers, digital infrastructure, and real estate</li>\n<li>Strong financial modeling, valuation and analytical skills: specifically, experience building real estate development models, merger models, and accretion/dilution analysis</li>\n<li>Strategic thinker with the ability to synthesize market data into actionable insights and drive high-impact decisions.</li>\n<li>Excellent presentation and communication abilities, with experience presenting to executives and external stakeholders.</li>\n<li>Ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects.</li>\n<li>Deep interest in AI, cloud infrastructure, and emerging technology trends,prior experience in the machine learning or GPU computing space is a strong plus.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/20738542-164f-45b6-a822-f54c11b5fc60","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/20738542-164f-45b6-a822-f54c11b5fc60","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$225K - $330K","x-skills-required":["M&A","financial modeling","valuation analysis","strategic thinking","communication"],"x-skills-preferred":["AI","cloud infrastructure","machine learning","GPU computing"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-15T21:24:38.794Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"M&A, financial modeling, valuation analysis, strategic thinking, communication, AI, cloud infrastructure, machine learning, GPU computing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":225000,"maxValue":330000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cf64bd74-4b0"},"title":"Senior Analyst - Capital Markets & Corporate Development","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>As Lambda continues its rapid growth, we are expanding our capital markets and corporate development functions to drive strategic growth initiatives and partnerships, debt and equity capital raises, and M&amp;A opportunities.</p>\n<p>We are seeking a Corporate Development Senior Analyst to play a key role in managing and executing the company’s end-to-end acquisition and strategic investment activities.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Support the identification, evaluation, and execution of M&amp;A, strategic investments, debt and equity capital raises, and strategic partnerships to accelerate growth, enhance capabilities, strengthen the balance sheet, and expand market reach.</li>\n<li>Lead financial modeling, valuation analysis, capital structure analysis, and due diligence for M&amp;A transactions, strategic investments, and debt and equity financing activities.</li>\n<li>Conduct strategic and financial evaluation of M&amp;A, investment, and capital raising opportunities; communicate findings through business case memos, financing materials, and executive presentations.</li>\n<li>Track industry trends, competitive dynamics, capital markets, and potential market opportunities to inform corporate development and financing strategy, while keeping stakeholders updated on the evolving ecosystem.</li>\n<li>Develop investment theses, financing strategies, and market analyses to support strategic decision-making, capital allocation, and long-term growth.</li>\n<li>Identify and cultivate strategic partnerships that enhance our product offerings, distribution channels, technology stack, and broader corporate growth objectives, including relationships with financial sponsors, lenders, investors, and strategic counterparties.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>2+ years of experience in investment banking, private equity, private credit, or venture capital, ideally with a focus on AI, cloud infrastructure, debt capital markets, and/or restructuring.</li>\n<li>Strong financial modeling, valuation and analytical skills: specifically, experience building company models, merger models, or project finance / debt financing.</li>\n<li>Strategic thinker with the ability to synthesize market data into actionable insights and drive high-impact decisions.</li>\n<li>Excellent presentation and communication abilities, with experience presenting to executives and external stakeholders.</li>\n<li>Ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects.</li>\n<li>Deep interest in AI, cloud infrastructure, and emerging technology trends,prior experience in the machine learning or GPU computing space is a strong plus.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/a7643768-bb94-4441-9295-64fefe233811","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/a7643768-bb94-4441-9295-64fefe233811","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$191K - $255K","x-skills-required":["financial modeling","valuation analysis","capital structure analysis","due diligence","strategic thinking","communication"],"x-skills-preferred":["AI","cloud infrastructure","machine learning","GPU computing"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-15T21:24:21.606Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"financial modeling, valuation analysis, capital structure analysis, due diligence, strategic thinking, communication, AI, cloud infrastructure, machine learning, GPU computing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":191000,"maxValue":255000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b98d1b52-656"},"title":"Senior Site Reliability Engineer - SDN","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p>Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Operate and scale Lambda’s multi-tenant cloud networking platform and SDN infrastructure</li>\n<li>Operate and improve Kubernetes-based control plane services and dataplane software running on SmartNICs</li>\n<li>Develop tooling and automation to reduce operational toil and improve reliability</li>\n<li>Collaborate with software, platform, and networking teams to improve service reliability and deployment workflows</li>\n<li>Deploy and maintain network monitoring, observability, and management tools</li>\n<li>Improve deployment safety through CI/CD pipelines, GitOps workflows, testing, and progressive rollouts</li>\n<li>Drive operational excellence through observability, incident management, capacity planning, postmortems, and participation in the on-call rotation</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Have 5+ years of experience in Site Reliability Engineering, Production Engineering, or a similar role</li>\n<li>Have experience operating and supporting large-scale distributed systems in production</li>\n<li>Have experience with Kubernetes application lifecycle management, upgrades, troubleshooting, and production operations</li>\n<li>Have experience participating in on-call rotations and incident response</li>\n<li>Have strong troubleshooting skills across Linux systems, Kubernetes, distributed systems, and networking</li>\n<li>Have experience with observability platforms, monitoring, alerting, and metrics</li>\n<li>Are comfortable working on the Linux command line and have a solid understanding of the Linux networking stack</li>\n<li>Have experience with multi-datacenter and hybrid cloud environments</li>\n<li>Have experience automating infrastructure and operational workflows using Python, Ansible, or similar tools</li>\n<li>Have experience designing and operating CI/CD and GitOps deployment workflows</li>\n</ul>\n<p>Nice To Have:</p>\n<ul>\n<li>Experience building and operating Software Defined Networks (SDN), including OpenStack Neutron, OVN, and OVS</li>\n<li>Experience operating production-scale SDNs in a cloud environment (e.g., infrastructure powering AWS VPC-like networking services)</li>\n<li>Software development experience in Go and/or Python (C is a plus)</li>\n<li>Experience automating infrastructure and network configuration using Kubernetes, Helm, Terraform, and Ansible</li>\n<li>Deep understanding of the Linux networking stack and its interaction with network virtualization technologies, SR-IOV, and DPDK</li>\n<li>Understanding of the SDN ecosystem and modern cloud networking architectures</li>\n<li>Experience diagnosing complex production issues across infrastructure, networking, and application layers</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/ee0998db-4bc2-44ea-9eee-4546109e4c3d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/ee0998db-4bc2-44ea-9eee-4546109e4c3d","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$240K - $312K","x-skills-required":["Site Reliability Engineering","Production Engineering","Kubernetes","Linux","Python","Ansible","CI/CD","GitOps","SDN"],"x-skills-preferred":["OpenStack Neutron","OVN","OVS","Go","Terraform","Helm","DPDK","SR-IOV"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-07T01:11:57.823Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Site Reliability Engineering, Production Engineering, Kubernetes, Linux, Python, Ansible, CI/CD, GitOps, SDN, OpenStack Neutron, OVN, OVS, Go, Terraform, Helm, DPDK, SR-IOV","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":240000,"maxValue":312000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8acf26b0-82f"},"title":"Senior Software Engineer - Infrastructure Storage","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>In the world of distributed AI training and inference, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.</p>\n<p>We&#39;re looking for an experienced Senior Software Engineer to join our storage team. You&#39;ll join a team responsible for developing and implementing storage software for our next-generation on-premise storage solutions. This role requires expertise in distributed systems, and an in-depth understanding of file, block, and object storage protocols.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, develop, and maintain software for storage systems, focusing on performance, scalability, and reliability.</li>\n<li>Implement and optimize storage protocol APIs for file (e.g., NFS, SMB), block (e.g., iSCSI, Fibre Channel), and object (e.g., S3) access.</li>\n<li>Develop distributed systems for managing and orchestrating storage resources across multiple storage solutions and redundant arrays.</li>\n<li>Collaborate with hardware and system architects to integrate software with various storage solutions, including NVMe and GPU-direct storage.</li>\n<li>Troubleshoot and debug complex issues in a production data center environment.</li>\n<li>Contribute to the full software development lifecycle, from requirements gathering and design to deployment and maintenance.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in Computer Science or a related field.</li>\n<li>5+ years of experience in software development for storage systems.</li>\n<li>Proven experience with distributed systems programming and concepts such as load balancers, data-durability, consensus algorithms, fault tolerance, and data consistency.</li>\n<li>Strong programming skills in languages such as C, C++, Go, or Python.</li>\n<li>Deep understanding of storage protocols, including:</li>\n<li>File: NFS, SMB, Lustre</li>\n<li>Block: iSCSI, Fibre Channel</li>\n<li>Object: S3, Swift</li>\n<li>Experience with Linux kernel internals and system-level programming.</li>\n<li>Familiarity with containerization technologies like Docker and Kubernetes and running production workloads in these environments.</li>\n<li>Familiarity with CI/CD and QA practices for distributed systems development environments.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with AI/ML workloads and the unique storage challenges they present.</li>\n<li>Knowledge of data center networking and high-speed interconnects (e.g., InfiniBand, RoCE).</li>\n<li>Experience with performance tuning and optimization of storage systems.</li>\n<li>Familiarity with hardware acceleration technologies, specifically GPUs and DPUs.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/20599b39-8482-4852-a955-f279bbb5463f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/20599b39-8482-4852-a955-f279bbb5463f","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$266K - $395K","x-skills-required":["C","C++","Go","Python","NFS","SMB","Lustre","iSCSI","Fibre Channel","S3","Swift","Linux kernel","Docker","Kubernetes"],"x-skills-preferred":["AI/ML","InfiniBand","RoCE","GPUs","DPUs"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-16T23:04:41.322Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, Go, Python, NFS, SMB, Lustre, iSCSI, Fibre Channel, S3, Swift, Linux kernel, Docker, Kubernetes, AI/ML, InfiniBand, RoCE, GPUs, DPUs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":266000,"maxValue":395000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5890a410-804"},"title":"Senior Finance Systems Architect (Bangalore, India)","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Information Systems at Lambda is responsible for building and scaling the internal systems that power our business.</p>\n<p>We are seeking an experienced Business Systems Architect to lead and innovate across our enterprise systems landscape.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Solution Design &amp; Implementation: Architect and deploy advanced workflows, scripts, configurations, and modules in enterprise platforms like NetSuite, Coupa, Stripe, and Chargebee.</li>\n<li>Integration &amp; Automation: Manage integrations and optimize iPaaS tools (e.g., Workato, Mulesoft) to ensure seamless data flow, interoperability, and automated processes across platforms.</li>\n<li>Compliance &amp; Optimization: Ensure SOX compliance through robust internal controls, system audits, and governance while driving continuous system improvements.</li>\n<li>Support &amp; Analytics: Troubleshoot complex issues, and deliver actionable insights through advanced reporting and dashboards to support decision-making.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Experience &amp; Certification: 8+ years of experience in business systems architecture or administration, including hands-on implementation of enterprise systems.</li>\n<li>Strong understanding of Finance technology stacks, including NetSuite, Coupa, Supply Chain, Asset Management, Billing systems and related business applications.</li>\n<li>Certifications in relevant platforms (e.g., NetSuite Administrator, iPaaS) strongly preferred.</li>\n<li>Technical Expertise: Proficiency in languages like JavaScript/SQL/ HTML/CSS/Python.</li>\n<li>Strong experience with middleware and low/no-code platforms (e.g., Workato, n8n, Mulesoft, Alteryx) for system integrations &amp; workflow automations.</li>\n<li>Demonstrated success in deploying process automation tools to streamline operations and increase efficiency.</li>\n<li>Experience with CI/CD tools (e.g., Git, Jenkins) in the context of NetSuite development.</li>\n<li>Proficiency in managing API integrations between NetSuite and external systems using REST, SOAP, and other protocols.</li>\n<li>Background in Agile/Scrum project management methodologies.</li>\n<li>Experience working in multi-subsidiary, multi-currency environments.</li>\n<li>Compliance &amp; Controls: Strong knowledge of ITGCs (IT General Controls) and SOX compliance.</li>\n<li>Leadership &amp; Communication: Excellent communication skills to effectively collaborate across all levels of leadership from technical staff to senior executives.</li>\n<li>Proven ability to present complex technical solutions in a clear and compelling manner.</li>\n<li>AI Automation &amp; Development: Hands-on experience leveraging AI and machine learning tools to design, build, and deploy intelligent automation solutions that enhance business processes.</li>\n<li>Proficiency with AI-powered platforms and frameworks (e.g., OpenAI, Anthropic, LangChain, or similar) to develop custom workflows, copilots, and agentic solutions.</li>\n<li>Proven ability to identify high-impact automation opportunities and translate them into scalable AI-driven implementations across finance and enterprise systems.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/698f2617-e44c-4b3a-a8cd-9b7e38923932","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/698f2617-e44c-4b3a-a8cd-9b7e38923932","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["NetSuite","Coupa","Stripe","Chargebee","JavaScript","SQL","HTML","CSS","Python","Workato","Mulesoft","Git","Jenkins","REST","SOAP","Agile","Scrum","SOX compliance","ITGCs","AI","Machine Learning","OpenAI","Anthropic","LangChain"],"x-skills-preferred":["NetSuite Administrator","iPaaS"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-09T22:43:08.266Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"NetSuite, Coupa, Stripe, Chargebee, JavaScript, SQL, HTML, CSS, Python, Workato, Mulesoft, Git, Jenkins, REST, SOAP, Agile, Scrum, SOX compliance, ITGCs, AI, Machine Learning, OpenAI, Anthropic, LangChain, NetSuite Administrator, iPaaS"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_694a34eb-fab"},"title":"Security Engineer","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p><strong>About the Role</strong></p>\n<p>Lambda Security protects some of the world&#39;s most valuable digital assets: training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best-of-breed AI models. We&#39;re responsible for securing every byte that powers breakthrough artificial intelligence.</p>\n<p>As a Security Engineer at Lambda, you&#39;ll touch many areas across the security program such as building detections, hardening infrastructure, reviewing designs, automating toil, and responding to incidents. Reporting to the Head of Security and partnering closely with Product Engineering, Data Center Operations and Engineering, IT, and embedded Technical Program Managers, your work shapes the security posture customers rely on.</p>\n<p>Security at Lambda directly enables customer trust and unlocks enterprise revenue. Our customers run billion-dollar training jobs and irreplaceable model weights on our infrastructure; our job is to make Lambda the safest place to build with AI.</p>\n<p>Over the next 12-18 months, you&#39;ll help deliver our 2026 security roadmap, expand detection coverage for AI-specific threats, help mature our incident response program, and ship security automation that other engineering teams adopt voluntarily.</p>\n<p>You&#39;ll also have direct access to LLMs hosted on Lambda&#39;s own infrastructure to push security operations beyond what&#39;s possible elsewhere.</p>\n<p>Security is a broad field, and we don&#39;t expect you to be an expert in everything our team does, but we do expect you to learn quickly, ship across domains, and support the specialists around you.</p>\n<p>If you enjoy moving between detection, architecture, and platform work and want to build security alongside the engineers you&#39;re protecting rather than from the outside then we&#39;d love to talk.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Build and Tune Detections: Develop and refine detection content across our SIEM and EDR to catch threats targeting customer data, model weights, and infrastructure.</li>\n<li>Respond to Incidents: Participate in on-call, lead investigations end-to-end, and turn each incident into automation, playbooks, or controls that prevent the next one.</li>\n<li>Harden Systems Directly: Remediate vulnerabilities and security findings in production, partnering with engineering teams when fixes cross team boundaries.</li>\n<li>Review Architectures and Code: Provide actionable security feedback on high-level designs and individual changes, and turn recurring review patterns into reusable standards.</li>\n<li>Build Security Tooling: Ship Python or Go services that automate evidence collection, vulnerability triage, and other toil, using Lambda&#39;s hosted LLMs where they meaningfully accelerate the work.</li>\n<li>Partner Across Engineering: Work with Product Engineering, Data Center Operations and Engineering, IT, and Legal to land security improvements at the moments they&#39;re cheapest to adopt.</li>\n<li>Balance Strategic and Tactical: Recognize when to invest in a long-term fix versus when &quot;good enough&quot; is exactly that, and bias toward measurable forward progress.</li>\n</ul>\n<p><strong>What We Think a Candidate Needs to Demonstrate to Succeed</strong></p>\n<ul>\n<li>5+ years of demonstrated security engineering experience, either directly as a security engineer or as an engineer driving security outcomes.</li>\n<li>A track record of working across security domains; for example, shipping detection work in one role and architecture, platform, or vulnerability management work in another.</li>\n<li>Thrives in high-speed, high-ambiguity startup environments where priorities shift regularly and structure must be built while executing.</li>\n<li>Strong hands-on Linux experience that showcases your ability to protect both our applications and the cloud we build underneath them.</li>\n<li>Comfortable solving problems in Python, Go, or a similar language, with the discipline to ship production-grade tooling rather than only one-off scripts.</li>\n<li>Excellent collaboration with technical teams both with and without authority.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>You&#39;ve led or developed a meaningful component of a security program.</li>\n<li>Experience driving or providing significant evidence for compliance audits.</li>\n<li>Significant experience operating large-scale production services.</li>\n<li>You&#39;ve built or deployed critical security infrastructure.</li>\n<li>Experience with AI/ML infrastructure security, model security, or protecting high-value computational workloads.</li>\n<li>Enthusiasm about leveraging direct access to state-of-the-art LLMs to push security operations beyond the status quo.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/e5453baf-d2ec-43d1-9d3b-8fb3d5cdc9d1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/e5453baf-d2ec-43d1-9d3b-8fb3d5cdc9d1","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$266K - $395K","x-skills-required":["security engineering","Linux","Python","Go"],"x-skills-preferred":["compliance audits","large-scale production services","AI/ML infrastructure security"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-16T19:55:46.631Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Security","industry":"Technology","skills":"security engineering, Linux, Python, Go, compliance audits, large-scale production services, AI/ML infrastructure security","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":266000,"maxValue":395000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_13995bda-6c9"},"title":"Senior Systems Engineer - Enterprise AI Platforms","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>Information Systems at Lambda is responsible for building and scaling the internal systems that power our business. We partner across the company,Finance, GTM, Engineering, and People,to implement tools, automate workflows, and ensure data flows securely and accurately.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, write, and deliver software and services to improve the availability, scalability, reliability, and efficiency of Lambda’s internal IT systems and platforms.</li>\n<li>Solve problems relating to mission critical services and build automation to prevent problem recurrence with the goal of automating response to all non-exceptional events.</li>\n<li>Work with Lambda Engineering and internal teams to Influence and create new designs, architectures, standards, and methods for large-scale distributed systems.</li>\n<li>Engage in service capacity planning and demand forecasting, software performance analysis, and system tuning.</li>\n<li>Be an excellent communicator, producing documentation and related artifacts for the systems you are responsible for.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>6+ years in software engineering, site reliability engineering, or IT systems engineering where you built and ran things in code, not just configured them.</li>\n<li>Build &amp; Scale Internal AI Tooling: Design and deploy low-code/no-code and custom internal platforms (using tools like Appsmith, custom Vercel-hosted frontends, etc.) integrated with LLM workflows to automate daily IT and operationalize similar work for Lambda users.</li>\n<li>Manage AI Infrastructure &amp; Gateways: Deploy, monitor, and optimize internal AI proxy gateways to route model traffic, manage API rate limits, optimize latency, and control inference costs across teams.</li>\n<li>Automate Operational Pipelines: Integrate AI agents into internal IT workflows (Slack/Discord bots, incident triage, log parsing via Datadog, user provisioning, ticket routing).</li>\n<li>Maintain and Monitor Platform Health &amp; CI/CD: Manage deployments, serverless functions, and infra pipelines (Vercel, AWS/GCP, etc) to ensure 99.9% uptime for all internal systems.</li>\n<li>Governance &amp; Security: Implement guardrails, data-privacy controls, and secret management to ensure sensitive corporate data isn&#39;t exposed to third-party LLM providers.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience and interest in ML/AI workloads and compute</li>\n<li>Practical experience implementing and managing paging, alerting, and on-call scheduling flows</li>\n<li>A positive attitude, combined with a desire to learn and collaborate</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/904bd81c-7826-4728-a597-9138cd812c8f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/904bd81c-7826-4728-a597-9138cd812c8f","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$206K - $275K","x-skills-required":["software engineering","site reliability engineering","IT systems engineering","Appsmith","Vercel","LLM workflows","Datadog"],"x-skills-preferred":["ML/AI workloads and compute","paging","alerting","on-call scheduling flows"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-07T19:36:54.024Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, site reliability engineering, IT systems engineering, Appsmith, Vercel, LLM workflows, Datadog, ML/AI workloads and compute, paging, alerting, on-call scheduling flows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":206000,"maxValue":275000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a77ee617-fee"},"title":"Senior Incident Manager","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>We are seeking a Senior Incident Manager to lead critical incident response across our AI data center infrastructure. This role is responsible for coordinating rapid resolution of service-impacting events, improving operational resilience, and driving incident management best practices across infrastructure, networking, platform engineering, and data center operations.</p>\n<p><strong>Role Overview</strong> The Senior Incident Manager is responsible for leading the end-to-end lifecycle of operational incidents impacting AI infrastructure and data center services. This individual acts as the central command point during major incidents, ensuring rapid triage, cross-team coordination, effective communication, and structured post-incident analysis.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li><strong>Incident Leadership</strong></li>\n<li>Lead the response to critical (SEV-1 / SEV-2) incidents impacting AI infrastructure, GPU clusters, networking, storage, and data center operations.</li>\n<li>Serve as the Incident Commander during major outages, coordinating engineering, networking, facilities, and vendor teams.</li>\n<li>Act as the liaison between leadership and external teams during incidents / post-incidents to provide updates and status summaries.</li>\n<li>Establish clear incident timelines, triage actions, and resolution plans.</li>\n</ul>\n<ul>\n<li><strong>Incident Management Operations</strong></li>\n<li>Own the incident response lifecycle including: assisting Technical Triage, escalation, coordination, resolution, and post-incident review.</li>\n<li>Ensure timely and accurate communication with internal stakeholders and leadership.</li>\n<li>Maintain incident response documentation and operational playbooks.</li>\n<li>Conduct analysis on incidents and identify patterns / trends for improvement in response and systems reliability.</li>\n<li>Work in an On-Call Rotation to respond to, lead, and coordinate incidents.</li>\n</ul>\n<ul>\n<li><strong>Cross-Functional Coordination</strong></li>\n<li>Work closely with data center operations, infrastructure engineering &amp; operations, network engineering, platform reliability engineering, security operations, hardware and facility vendors.</li>\n<li>Drive alignment during outages involving multiple infrastructure layers.</li>\n</ul>\n<ul>\n<li><strong>Post-Incident Analysis &amp; Continuous Improvement</strong></li>\n<li>Lead post-incident reviews (PIRs) and root cause analysis. Identify systemic reliability gaps and implement corrective actions.</li>\n<li>Track incident metrics including MTTR, MTTD, and incident recurrence rates.</li>\n</ul>\n<ul>\n<li><strong>Operational Excellence</strong></li>\n<li>Improve incident response processes, escalation paths, and tooling by working with technical support and engineering teams.</li>\n<li>Contribute to runbooks, operational standards, and reliability frameworks.</li>\n<li>Support implementation of automation and observability improvements.</li>\n</ul>\n<ul>\n<li><strong>Communication &amp; Reporting</strong></li>\n<li>Provide executive-level incident summaries and reports.</li>\n<li>Deliver clear, concise updates during active incidents.</li>\n<li>Maintain incident dashboards and operational health reporting.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>8+ years experience in incident management, site reliability engineering, or infrastructure operations</li>\n<li>Experience managing incidents in large-scale distributed infrastructure environments</li>\n<li>Strong understanding of: data center operations, GPU compute clusters, networking and storage infrastructure, cloud or hybrid infrastructure platforms</li>\n<li>Proven ability to lead high-pressure incident response situations</li>\n<li>Experience with incident management frameworks (ITIL, SRE, or equivalent)</li>\n<li>Excellent communication and stakeholder management skills</li>\n<li>Experience with incident tracking and monitoring tools such as: PagerDuty, ServiceNow, Jira, Datadog, Prometheus / Grafana</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience operating AI or HPC infrastructure</li>\n<li>Background in SRE, infrastructure engineering, or data center operations</li>\n<li>Familiarity with high-density GPU environments (NVIDIA clusters, InfiniBand networks)</li>\n<li>Experience with hyperscale or colocation data center environments</li>\n<li>Knowledge of automation and incident response tooling</li>\n<li>Knowledge of and experience with Incident command system (ICS)</li>\n<li>Experience in leading and developing incident command from scratch</li>\n</ul>\n<p><strong>What Success Looks Like in This Role</strong></p>\n<ul>\n<li>Reduced Mean Time to Resolution (MTTR) for critical incidents</li>\n<li>Improved cross-team incident coordination</li>\n<li>High-quality post-incident reviews and corrective actions</li>\n<li>Increased infrastructure reliability and operational maturity</li>\n</ul>\n<p><strong>Salary Range Information</strong> The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.</p>\n<p><strong>About Lambda</strong> Founded in 2012, with 500+ employees, and growing fast. Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK &amp; Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/7e26ae22-0ecb-4de0-bb9f-7dff3ab39371","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/7e26ae22-0ecb-4de0-bb9f-7dff3ab39371","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$125K - $195K","x-skills-required":["incident management","site reliability engineering","infrastructure operations","data center operations","GPU compute clusters","networking and storage infrastructure","cloud or hybrid infrastructure platforms","incident management frameworks","communication and stakeholder management","PagerDuty","ServiceNow","Jira","Datadog","Prometheus / Grafana"],"x-skills-preferred":["AI or HPC infrastructure","SRE","infrastructure engineering","high-density GPU environments","hyperscale or colocation data center environments","automation and incident response tooling","Incident command system (ICS)"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-06-03T22:17:46.163Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, USA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"incident management, site reliability engineering, infrastructure operations, data center operations, GPU compute clusters, networking and storage infrastructure, cloud or hybrid infrastructure platforms, incident management frameworks, communication and stakeholder management, PagerDuty, ServiceNow, Jira, Datadog, Prometheus / Grafana, AI or HPC infrastructure, SRE, infrastructure engineering, high-density GPU environments, hyperscale or colocation data center environments, automation and incident response tooling, Incident command system (ICS)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":195000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9129b767-e28"},"title":"Senior Software Engineer - Storage Control Plane","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>In the world of distributed AI training and inference, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.</p>\n<p>We&#39;re looking for an experienced Senior Software Engineer to join our storage team. You&#39;ll join a team responsible for developing and implementing our next-generation storage software. This role requires expertise in distributed systems, and an in-depth understanding of file, block, and object storage protocols.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and build a vendor-agnostic control plane that provisions, scales, heals, and meters storage across the platforms our customers actually demand.</li>\n<li>Define the internal abstraction layer that hides vendor-specific APIs, failure semantics, QoS knobs, and telemetry formats behind one declarative interface.</li>\n<li>Build reconciliation-loop and CRD-based orchestration that manages capacity, tenancy, encryption domains, and placement across data centers and availability zones.</li>\n<li>Own multi-tenant isolation end to end: namespace and subsystem partitioning, per-tenant QoS and rate limiting, credential and key lifecycle, blast-radius containment, noisy-neighbor detection.</li>\n<li>Design the capacity and placement engine: PCIe-topology-aware, NUMA-aware, failure-domain-aware.</li>\n<li>Instrument everything: SLI/SLO definitions, fleet-wide performance regression detection, and the observability pipeline that makes a petabyte fleet debuggable.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in Computer Science or a related field.</li>\n<li>5+ years of experience in software development for storage systems.</li>\n<li>Proven experience with distributed systems programming and concepts.</li>\n<li>Strong programming skills in languages such as C, C++, Go, or Python.</li>\n<li>Experience with Linux kernel internals and system-level programming.</li>\n<li>Experience with one or more storage protocols and file systems.</li>\n<li>Familiarity with containerization technologies like Docker and Kubernetes.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience with AI/ML workloads and the unique storage challenges they present.</li>\n<li>Knowledge of data center networking and high-speed interconnects.</li>\n<li>Experience with performance tuning and optimization of storage systems.</li>\n<li>Familiarity with hardware acceleration technologies, specifically GPUs and DPUs.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/71485f80-dc31-431b-a843-ab98323eeb6d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/71485f80-dc31-431b-a843-ab98323eeb6d","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$266K - $395K","x-skills-required":["distributed systems","storage systems","C","C++","Go","Python","Linux kernel internals","system-level programming","storage protocols","file systems","containerization technologies","Docker","Kubernetes"],"x-skills-preferred":["AI/ML workloads","data center networking","high-speed interconnects","performance tuning","optimization of storage systems","hardware acceleration technologies","GPUs","DPUs"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-12T23:46:26.152Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems, storage systems, C, C++, Go, Python, Linux kernel internals, system-level programming, storage protocols, file systems, containerization technologies, Docker, Kubernetes, AI/ML workloads, data center networking, high-speed interconnects, performance tuning, optimization of storage systems, hardware acceleration technologies, GPUs, DPUs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":266000,"maxValue":395000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3b8f5063-ed0"},"title":"Staff Software Engineer - Compute","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Staff Software Engineer for the Compute pillar, you will play a critical role in defining the technical vision for Lambda&#39;s next-generation GPU and CPU host instance lifecycle and compute control plane.</p>\n<p>This role bridges the gap between high-level distributed systems and low-level semiconductor architecture to enable seamless, reliable cloud provisioning and lifecycle management of a heterogeneous compute platform at a massive scale.</p>\n<p>You will provide hands-on technical leadership that will guide development of a resilient compute control plane utilizing durable execution concepts and deep/unique hardware integration.</p>\n<p>The position requires a deep understanding of the entire stack, from BIOS/firmware (UEFI), Linux kernel internals, modern DPU capabilities, distributed systems, cradle-to-grave system lifecycle management, to large-scale cloud-service provider (CSP) operations.</p>\n<p>You will drive high-impact, cross-functional initiatives, leading the work of multiple engineers to deliver enterprise-grade SLAs for the world&#39;s leading AI researchers.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<p>We are seeking an engineer with extensive experience in cloud infrastructure to build and optimize GPU-first compute systems.</p>\n<p>In this role, you will be responsible for:</p>\n<ul>\n<li>Designing and implementing a highly available and reliable GPU and CPU “host and instance lifecycle” control plane.</li>\n<li>Guide technical decisions involving semiconductor architecture, BIOS/Firmware settings, system boot methodologies, and DPU utilization to optimize host capabilities, performance and reliability.</li>\n<li>Guide design of compute platform multi-tenant security model.</li>\n<li>Provide technical leadership and mentorship for senior engineers across several teams to execute on complex infrastructure roadmaps and technical strategy.</li>\n<li>Collaborate with product and data center organizations to translate customer requirements into scalable infrastructure capabilities.</li>\n<li>Work with customers on translating vague customer technical requirements into concrete engineering deliverables.</li>\n<li>Set engineering standards and lead design reviews for mission-critical cloud software at scale.</li>\n</ul>\n<p><strong>Who You are</strong></p>\n<ul>\n<li>10+ years of experience working on compute control plane distributed systems used for deploying and lifecycle managing heterogeneous compute platforms into data-centers, built for resilience at scale.</li>\n<li>Deep expertise in durable execution models and distributed systems used in cloud-service provisioning.</li>\n<li>Basic knowledge of software defined networking fundamentals that informs secure, multi-tenant distributed systems.</li>\n<li>Proven track record of leading large-scale semi-conductor hardware enablement and deployment initiatives.</li>\n<li>Proven experience in deploying net-new data-centers into a global compute platform (not just working in existing data-centers).</li>\n<li>Proficiency in one of more of the following programming languages: C/C++, Rust, Python, Go.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Knowledge of Nvidia’s AI Factory architectural components (including GPU hosts, CPU hosts, SuperNICs (ConnectX and Bluefield DPUs , and switches).</li>\n<li>Knowledge of Nvidia’s AI Factory software offerings (like DOCA, DOCA SNAP, CUDA, et al.).</li>\n<li>Knowledge of Linux kernel internals, device drivers, and virtualization technologies (KVM, QEMU), kernel bypass technologies (like SR-IOV, DPDK, SPDK).</li>\n<li>Experience with Cloud Service Provider Kubernetes offerings.</li>\n<li>Knowledge of high-performance networking (InfiniBand, RoCE) and storage protocols (NVMe-oF).</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation.</li>\n<li>Health, dental, and vision coverage for you and your dependents.</li>\n<li>Wellness and commuter stipends for select roles.</li>\n<li>401k Plan with 2% company match (USA employees).</li>\n<li>Flexible paid time off plan.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/dc50b738-be98-4f38-b32e-4df9a340f9ff","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/dc50b738-be98-4f38-b32e-4df9a340f9ff","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$314K - $465K","x-skills-required":["C/C++","Rust","Python","Go","distributed systems","cloud infrastructure","semiconductor architecture"],"x-skills-preferred":["Nvidia AI Factory","Linux kernel internals","Cloud Service Provider Kubernetes","high-performance networking","storage protocols"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-14T19:27:20.677Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C/C++, Rust, Python, Go, distributed systems, cloud infrastructure, semiconductor architecture, Nvidia AI Factory, Linux kernel internals, Cloud Service Provider Kubernetes, high-performance networking, storage protocols","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":314000,"maxValue":465000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_64f70921-cb5"},"title":"Staff Software Engineer - Infrastructure Storage","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Francisco/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p>In the world of distributed AI, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible. The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware. Our expertise lies at the intersection of:</p>\n<ul>\n<li>High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs.</li>\n<li>Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.</li>\n<li>Compute Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs.</li>\n</ul>\n<p>About the Role: We are seeking a seasoned Staff Storage Software Engineer with deep experience designing and deploying storage protocol solutions at scale across object, block, and file paradigms. This is a unique opportunity to work at the intersection of large-scale distributed systems and the rapidly evolving field of artificial intelligence infrastructure. This is an opportunity to have a significant impact on the future of AI. You will be building the foundational infrastructure that powers some of the most advanced AI research and products in the world.</p>\n<p>What You’ll Do</p>\n<ul>\n<li>Technical Leadership: Set technical direction for storage software architecture across petabyte-scale deployments, authoring and reviewing design docs, mentoring senior engineers, and serving as the technical anchor for cross-functional initiatives spanning storage, networking, compute, and control plane teams. Represent the storage software team in architectural reviews, roadmap planning, and customer-facing technical discussions.</li>\n<li>Execution: Design, develop, and maintain high-performance storage systems software across file (NFS, SMB, Lustre), block (NVMe-oF, iSCSI), and object (S3) protocols. Build distributed systems for orchestrating storage resources, integrate with NVMe/GPU-direct/DPU-accelerated hardware, and troubleshoot complex production issues across performance, protocol, and hardware failure domains. Own the full lifecycle from requirements and design through deployment, monitoring, and maintenance, including benchmarking, profiling, and capacity planning tooling.</li>\n<li>Collaboration: Partner closely with storage software, networking, control plane, Kubernetes, observability, compute, and fleet engineering teams to deliver cross-functional infrastructure initiatives, define and track storage SLOs/SLIs, and ensure reliable deployment and maintenance of distributed storage infrastructure.</li>\n<li>Innovate: Stay current with AI and HPC storage research, evaluate emerging protocols and hardware (from open-source filesystems to vendor-specific accelerated storage), and optimize solutions for AI workloads including checkpoint I/O, high-throughput dataset serving, and latency-sensitive inference pipelines.</li>\n</ul>\n<p>You Have:</p>\n<ul>\n<li>Experience: 10+ years in storage systems engineering, with 5+ years in a technical lead or Staff+ IC role. Proven track record designing and operating multi-petabyte storage infrastructure in production data center or cloud environments. Background in HPC, AI/ML infrastructure, or large-scale cloud storage.</li>\n<li>Systems-Level Programming: Strong proficiency in C, C++, Rust, or Go. Ability to write high-performance, concurrent, production-grade systems code. Familiarity with DPDK/SPDK and kernel-bypass data paths is a plus; kernel-level storage driver or storage daemon experience is even better.</li>\n<li>Storage Protocol &amp; API Expertise: Deep hands-on experience with two or more protocols, object (S3), block (iSCSI, NVMe-oF), or file (NFS, SMB, Lustre, DAOS), including implementing or maintaining protocol servers/clients in production, not just consuming them.</li>\n<li>Storage Performance Optimization: Experience profiling and tuning for throughput, latency, and IOPS under real workloads using tools like fio, elbencho.</li>\n<li>Modern Storage Technologies: Working knowledge of NVMe, NVMe-oF, RDMA (RoCE or InfiniBand), and DPUs (e.g., NVIDIA BlueField).</li>\n<li>Operational Acumen: Comfortable in physical data center environments, rack-scale infrastructure, storage hardware, failure domains. Experience designing for reliability, writing runbooks, and driving incident response. Familiar with storage observability tooling (Prometheus, Grafana, log aggregation, tracing).</li>\n</ul>\n<p>Nice to Have</p>\n<ul>\n<li>Experience with NVIDIA BlueField DPUs or SuperNICs for accelerated storage data paths, including GPUDirect Storage implementation.</li>\n<li>Deep production experience with enterprise or HPC storage platforms: Vast Data, Weka, NetApp, or Lustre.</li>\n<li>Experience deploying and operating Ceph like service at scale (100PB+) in an HPC or AI infrastructure environment.</li>\n<li>Familiarity with emerging storage technologies such as CXL memory pooling, computational storage, or ZNS (Zoned Namespace) SSDs.</li>\n<li>Experience contributing to or maintaining open-source storage projects (e.g., Ceph, DAOS, Lustre, MinIO).</li>\n</ul>\n<p>Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.</p>\n<p>About Lambda</p>\n<ul>\n<li>Founded in 2012, with 500+ employees, and growing fast</li>\n<li>Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK &amp; Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove</li>\n<li>We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG</li>\n<li>Our values are publicly available: https://lambda.ai/careers</li>\n<li>We offer generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan that we all actually use</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/c7ecb434-fdc0-434e-a455-9c200055cda0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/c7ecb434-fdc0-434e-a455-9c200055cda0","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$314K - $465K","x-skills-required":["C","C++","Rust","Go","DPDK/SPDK","NVMe","NVMe-oF","RDMA","DPUs","NFS","SMB","Lustre","S3","iSCSI","fio","elbencho","Prometheus","Grafana"],"x-skills-preferred":["NVIDIA BlueField DPUs","SuperNICs","GPUDirect Storage","Vast Data","Weka","NetApp","Ceph","DAOS","MinIO","CXL memory pooling","computational storage","ZNS SSDs"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-23T17:36:27.637Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, Rust, Go, DPDK/SPDK, NVMe, NVMe-oF, RDMA, DPUs, NFS, SMB, Lustre, S3, iSCSI, fio, elbencho, Prometheus, Grafana, NVIDIA BlueField DPUs, SuperNICs, GPUDirect Storage, Vast Data, Weka, NetApp, Ceph, DAOS, MinIO, CXL memory pooling, computational storage, ZNS SSDs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":314000,"maxValue":465000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_967dbab4-fe1"},"title":"Hardware Quality Engineer","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p>The Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Track, log, and manage all quality issues arising in the data center during deployment and production environment</li>\n<li>Perform root cause analysis (RCA) for every failure (hardware, software, process)</li>\n<li>Analyze production system metrics and quality data to detect trends, anomalies, or weak points</li>\n<li>Improve turnaround time (TAT) for Return Merchandise Authorization (RMA) processes</li>\n<li>Design, monitor, and drive corrective and preventive actions (CAPA)</li>\n<li>Implement and verify containment actions to keep systems operational until permanent fixes are applied</li>\n<li>Collaborate with operations, hardware, engineering, supply chain, and vendors to resolve quality issues</li>\n<li>Capture and upload failure analysis (FA) reports and related data into Quality Management Systems (QMS)</li>\n<li>Verify quality of spares (incoming and outgoing) to avoid repeat failures</li>\n<li>Define and track quality KPIs / SLAs and report on quality performance to leadership</li>\n<li>Oversee MRB (Material Review Board) inventory, rework, disposal decisions</li>\n<li>Ensure the quality management system (QMS) is up to date, with necessary training rolled out</li>\n<li>Work cross-functionally during hardware ramp, deployments, and upgrades to ensure quality gates</li>\n<li>Up to 30% travel may be required for this role.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have experience working with hardware / data center / infrastructure systems</li>\n<li>Are strong at data analysis, statistics, and metrics (you can turn raw data into insight)</li>\n<li>Are skilled in root cause analysis methods (5 Whys, fishbone, 8D, A3, etc.)</li>\n<li>Are comfortable managing cross-team communication, stakeholder expectations, and conflict resolution</li>\n<li>Are detail-oriented, process-driven, and quality-minded</li>\n<li>Have experience working with quality tools or QMS software (e.g. audit modules, ERP, defect tracking)</li>\n<li>Communicate clearly in English (both written and verbal)</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience in the machine learning / AI infrastructure / GPU / HPC / computer hardware industry</li>\n<li>Exposure to data center standards, certifications (e.g. ISO, Uptime Institute, etc.)</li>\n<li>Experience working on vendor quality, supply chain quality, or incoming inspections</li>\n<li>Understanding of firmware, embedded systems, reliability engineering</li>\n<li>Familiarity with scripting or automation (Python, SQL, etc.) to help with data processing</li>\n<li>Exposure to cloud or hyperscaler infrastructure operations</li>\n<li>Experience with “manufacturing-like” quality concepts applied to compute hardware</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/9644bc3d-966a-4a5e-85ef-3afbe080a7a6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/9644bc3d-966a-4a5e-85ef-3afbe080a7a6","x-work-arrangement":"hybrid","x-experience-level":null,"x-job-type":"full-time","x-salary-range":"$135K - $180K","x-skills-required":["data analysis","statistics","root cause analysis","quality management","communication"],"x-skills-preferred":["machine learning","AI infrastructure","GPU","HPC","computer hardware","data center standards","certifications","vendor quality","supply chain quality","firmware","embedded systems","reliability engineering","scripting","automation"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-31T16:45:54.449Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data analysis, statistics, root cause analysis, quality management, communication, machine learning, AI infrastructure, GPU, HPC, computer hardware, data center standards, certifications, vendor quality, supply chain quality, firmware, embedded systems, reliability engineering, scripting, automation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":135000,"maxValue":180000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_75bb4602-b39"},"title":"Account CTO","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Provide strategic technology leadership for key accounts</li>\n<li>Serve as the primary technical liaison for Lambda&#39;s strategic Superintelligence accounts</li>\n<li>Cultivate and sustain executive level technical relationships, establishing Lambda as a trusted technology partner and strategic advisor</li>\n<li>Drive multi-year technology roadmaps aligned with customer business objectives and Lambda&#39;s product portfolio</li>\n<li>Influence customer technology strategy and adoption at the executive level</li>\n<li>Represent Lambda at executive briefings, board meetings, and strategic planning sessions</li>\n<li>Own technical strategy and business outcomes</li>\n<li>Partner with Global Account teams to drive strategic account growth and expansion</li>\n<li>Lead architectural reviews and technology assessments at the enterprise level</li>\n<li>Define and articulate business value propositions, ROI models, and TCO analyses for executive stakeholders</li>\n<li>Orchestrate cross-functional teams including Solutions Engineers, Forward Deployed Engineers, Professional Services, and Product Management</li>\n<li>Own technical escalations and serve as the Executive Technical Sponsor for critical customer initiatives</li>\n<li>Drive adoption of Lambda&#39;s strategic initiatives within key accounts</li>\n</ul>\n<p><strong>Technology Vision and Thought Leadership</strong></p>\n<ul>\n<li>Establish yourself as a trusted advisor on AI/ML transformation and cloud strategy</li>\n<li>Guide customers through digital transformation journeys and emerging technology adoption</li>\n<li>Publish thought leadership content, speak at industry events, and represent Lambda in executive forums</li>\n<li>Influence Lambda&#39;s product strategy based on strategic customer needs and market trends</li>\n<li>Mentor and develop technical talent across the organization</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>15+ years of experience designing, deploying and scaling cloud infrastructure</li>\n<li>6+ years of experience working directly with C-suite executives and senior leadership teams in advisory or consultative capacities</li>\n<li>5+ years driving cloud transformation initiatives at enterprise scale</li>\n<li>Proven track record of influencing C-suite executives and board-level stakeholders</li>\n<li>Deep expertise in AI/ML technologies and their business applications</li>\n<li>Experience with NVIDIA DGX/HGX/MGX systems, InfiniBand &amp; RoCE networking, and large-scale GPU cluster deployments</li>\n<li>Experience with storage architectures including distributed file systems, object storage, high-performance parallel file systems, and NVMe-based solutions</li>\n<li>Hands-on experience with LLM training, fine-tuning, and inference at scale</li>\n<li>Experience with enterprise architecture frameworks and governance models</li>\n<li>Experience managing or influencing deals worth $1B+ annually</li>\n<li>Strong business acumen with ability to translate technology into business outcomes</li>\n<li>Experience navigating complex organizational dynamics and driving consensus</li>\n<li>Track record of building strategic partnerships and alliances</li>\n<li>Excel at executive communication, presentation, and storytelling</li>\n<li>Demonstrate thought leadership through publications, speaking engagements, or industry recognition</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>MBA or advanced degree in Computer Science, Engineering, or related technical field</li>\n<li>Experience as a CTO, VP of Engineering, Chief Architect, or Technical Fellow at a technology company with $100M+ revenue</li>\n<li>Track record working with AI labs, research institutions, or frontier model companies</li>\n<li>Board advisory experience for technology companies</li>\n<li>Published peer-reviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or large-scale ML training infrastructure</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/4605a295-8303-45be-9ba7-f26af3bae8cd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/4605a295-8303-45be-9ba7-f26af3bae8cd","x-work-arrangement":"remote","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$271K - $425K","x-skills-required":["AI/ML technologies","cloud infrastructure","NVIDIA DGX/HGX/MGX systems","InfiniBand & RoCE networking","large-scale GPU cluster deployments","distributed file systems","object storage","high-performance parallel file systems","NVMe-based solutions","LLM training","enterprise architecture frameworks","governance models"],"x-skills-preferred":["MBA or advanced degree in Computer Science, Engineering, or related technical field","Experience as a CTO, VP of Engineering, Chief Architect, or Technical Fellow at a technology company with $100M+ revenue","Track record working with AI labs, research institutions, or frontier model companies","Board advisory experience for technology companies","Published peer-reviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or large-scale ML training infrastructure"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-06-03T19:41:41.319Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, USA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI/ML technologies, cloud infrastructure, NVIDIA DGX/HGX/MGX systems, InfiniBand & RoCE networking, large-scale GPU cluster deployments, distributed file systems, object storage, high-performance parallel file systems, NVMe-based solutions, LLM training, enterprise architecture frameworks, governance models, MBA or advanced degree in Computer Science, Engineering, or related technical field, Experience as a CTO, VP of Engineering, Chief Architect, or Technical Fellow at a technology company with $100M+ revenue, Track record working with AI labs, research institutions, or frontier model companies, Board advisory experience for technology companies, Published peer-reviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or large-scale ML training infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":271000,"maxValue":425000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_aaa0c3d1-92d"},"title":"Senior Network Engineer","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p>*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Help to build and scale Lambda&#39;s high-performance cloud network</li>\n<li>Work on deploying and configuring networking hardware for new and existing clusters</li>\n<li>Ensure high availability of our network through monitoring, failover, and redundancy</li>\n<li>Contribute to automation of network configuration management and operation</li>\n<li>Work with internal and external customers to resolve network-related issues</li>\n<li>Help with deploying and maintaining network monitoring and management tools</li>\n<li>Will be part of day-2 operations and on-call rotation for Network Engineering team</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 10+ years of experience in IT and networking space</li>\n<li>Have 6+ years of experience in designing and operating production Data Center type of networks</li>\n<li>Have led the implementation of large production-scale networking projects</li>\n<li>Experience managing Next-Generation Firewalls (e.g., Fortigate)</li>\n<li>Have experience with cloud providers networking (such as AWS, GCP, OCI)</li>\n<li>Expert in CLOS/Spine and Leaf fabrics, EVPN/VXLAN, ECMP, BGP, and fast convergence techniques</li>\n<li>Are comfortable on the Linux command line, and have an understanding of the Linux networking stack and internals</li>\n<li>Strong automation skills (Python, Ansible) and network APIs and worked with git or similar source control systems</li>\n<li>Production experience with multiple network gear vendors (Arista, Juniper, Cisco, Cumulus/SONiC, Opengear)</li>\n<li>Experience with Networking Monitoring stack (Datadog, Clickhouse, Grafana, Prometheus, gNMI, OTel)</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Have knowledge or experience maintaining Software Defined Networks (SDN)</li>\n<li>Experience automating network configuration within public clouds, with tools like Terraform/Ansible/Salt</li>\n<li>Hands-on with HPC/AI networking: RoCEv2 and/or InfiniBand (Congestion Control, VLs, partitions), GPUDirect RDMA concepts</li>\n<li>Experience with DWDM technologies and SD-WAN</li>\n<li>Understanding of data center power/space/cooling trade-offs and their impact on topology choices</li>\n<li>Have experience with virtualization technology, like ESXi, KVM, and VMs management</li>\n<li>Experience with LoadBalancers like F5, NetScaler</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/0b24367a-59b6-4e1e-a9f4-7c23542536fa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/0b24367a-59b6-4e1e-a9f4-7c23542536fa","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$250K - $370K","x-skills-required":["Next-Generation Firewalls","Cloud providers networking","CLOS/Spine and Leaf fabrics","EVPN/VXLAN","ECMP","BGP","Linux command line","Linux networking stack","Automation skills","Python","Ansible","Network APIs","Git","Network gear vendors","Networking Monitoring stack"],"x-skills-preferred":["Software Defined Networks","Terraform","Salt","HPC/AI networking","RoCEv2","InfiniBand","GPUDirect RDMA","DWDM technologies","SD-WAN","Virtualization technology","LoadBalancers"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-06-12T21:20:12.687Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Next-Generation Firewalls, Cloud providers networking, CLOS/Spine and Leaf fabrics, EVPN/VXLAN, ECMP, BGP, Linux command line, Linux networking stack, Automation skills, Python, Ansible, Network APIs, Git, Network gear vendors, Networking Monitoring stack, Software Defined Networks, Terraform, Salt, HPC/AI networking, RoCEv2, InfiniBand, GPUDirect RDMA, DWDM technologies, SD-WAN, Virtualization technology, LoadBalancers","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":250000,"maxValue":370000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2728b750-31f"},"title":"Senior Software Engineer - Fleet Engineering","description":"<p>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.</p>\n<p>Our customers range from AI researchers to enterprises and hyperscalers. Lambda&#39;s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.</p>\n<p>If you&#39;d like to build the world&#39;s best AI cloud, join us.</p>\n<p><strong>Note:</strong> This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.</p>\n<p>Fleet Engineering at Lambda is responsible for logically deploying, provisioning, and maintaining our rapidly growing fleet, spanning GPU, CPU, and storage hosts along with the InfiniBand and networking fabric that ties them together.</p>\n<p>As a Senior Software Engineer in Fleet Engineering, you will build and improve the systems that take our clusters from hardware receiving through provisioning, configuration, and day-to-day operation in production. You will work on automation and tooling that keep the fleet consistent, healthy, and easy to operate as it grows. The systems you build directly determine how quickly and reliably new hardware turns into usable customer capacity.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<p>Fleet Engineering spans several teams. Depending on the team you join, your day-to-day will involve some combination of the following:</p>\n<ul>\n<li>Develop and Maintain Production Systems: Design, implement, and improve the software that powers fleet lifecycle management, machine configuration, and cluster state at scale.</li>\n<li>Automate Provisioning and Deployment: Build and enhance automation that takes clusters from logical design and racking through OS provisioning, configuration, validation, and customer hand-off.</li>\n<li>Support New Hardware and Site Bring-Up: Enable bring-up, validation, and production readiness for new server, accelerator, and network platforms, as well as new datacenter sites.</li>\n<li>Improve Machine Lifecycle Workflows: Refine bare metal provisioning, firmware and DPU updates, imaging, and system health monitoring across the fleet.</li>\n<li>Keep Fleet State Consistent and Healthy: Build systems that reconcile intended against actual configuration, catch drift before it causes deployment failures, and maintain production SLAs.</li>\n<li>Debug Hardware and Firmware Issues: Investigate failures across BIOS, BMC, firmware, DPUs, networking, storage, and boot flows.</li>\n<li>Collaborate Across Teams: Work closely with datacenter and deployment operations, networking, architecture, security, and product engineering teams to build scalable, maintainable solutions.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 5+ years of engineering experience</li>\n<li>Are fluent in Python, Go, or similar, and comfortable with APIs, distributed systems, and automation pipelines</li>\n<li>Work confidently in Linux environments and can debug across the OS, hardware, and networking layers</li>\n<li>Are excited about working at the intersection of hardware, software, and physical datacenter builds</li>\n<li>Have owned production systems with real SLAs</li>\n<li>Can lead technical design on medium-to-large features: take an ambiguous problem, write the doc, drive alignment across teams, and ship</li>\n<li>Leave systems, and the teammates around you, better than you found them</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience in AI or ML infrastructure, or other hyperscale compute environments</li>\n<li>Hands-on experience with bare metal provisioning and lifecycle management, including technologies such as PXE, Redfish, IPMI, BMC, DHCP, and DNS</li>\n<li>Familiarity with datacenter physical infrastructure, including racks, switches, InfiniBand fabric, and power domains</li>\n<li>Experience diagnosing issues involving drivers, firmware, and hardware compatibility across GPU servers</li>\n<li>Experience with DPUs or programmable network accelerators</li>\n<li>Experience with network source-of-truth systems (NetBox or similar) or DCIM tooling</li>\n<li>Experience building Linux distributions or managing OS customization and imaging</li>\n<li>Familiarity with Ansible or similar configuration management tooling</li>\n<li>Exposure to Kubernetes and container orchestration concepts</li>\n<li>Experience incorporating AI-assisted development tools into engineering workflows, including code generation, debugging, test development, and documentation</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/d96f72bd-d78e-4a2b-9d9f-faa10b9ec883","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/d96f72bd-d78e-4a2b-9d9f-faa10b9ec883","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K - $395K","x-skills-required":["Python","Go","APIs","distributed systems","automation pipelines","Linux"],"x-skills-preferred":["AI or ML infrastructure","bare metal 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end-to-end process of new product introduction (NPI) for hardware systems, including system bring-up, documentation, vendor technical engagement, production readiness, and closure of hardware risks.</li>\n<li>Identify, debug, and resolve hardware issues across different hardware engineering domains during hardware NPI; support closure of critical fleet issues that require hardware design, vendor corrective action, or platform configuration changes.</li>\n<li>Partner with HPC architects to translate platform blueprints into concrete hardware selections and system configurations.</li>\n<li>Partner with the supply chain team on new vendor evaluation and QBR/HBR feedback on established vendors.</li>\n<li>Own the hardware platform through NPI, working with PMO to de-risk execution, drive cross-functional closure of hardware readiness issues, and ensure platforms reach production on schedule.</li>\n<li>Collaborate with the quality team and fleet reliability team during hardware NPI and after production to continuously improve product quality and reliability at scale.</li>\n<li>Work cross-functionally with fleet engineering, deployment, operation and datacenter engineering teams to ensure on-time delivery and deployment, quality, compatibility, performance, and scalability of new systems.</li>\n<li>Serve as the technical lead to evaluate, enable, and prototype new hardware in labs.</li>\n<li>Review BOMs to ensure configuration accuracy, component compatibility, and alignment of key commodities and components to Lambda platform requirements.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5 years of technical lead experience on hardware NPI and deployment for HPC, data center, or cloud infrastructure products, familiar with hardware NPI processes.</li>\n<li>Possess deep knowledge and hands-on experiences in one or many of the following hardware platforms: AI/ML, general compute (x86 and ARM), storage systems, or network switches.</li>\n<li>Broad hardware engineering domain knowledge in one or many of the below areas: electrical, thermal, mechanical, power, signal integrity, safety, compliance, reliability and manufacturing.</li>\n<li>Are comfortable working hands-on in labs to enable and bring up new hardware systems.</li>\n<li>Experiences in identifying, triaging and root causing hardware issues during NPI and at scale in the fleet.</li>\n<li>Experience in PLM systems and BOM structure.</li>\n<li>Collaborate well cross functionally to deliver production-ready hardware solutions.</li>\n<li>Strong ownership and can do attitude, self-starter who feels comfortable working in ambiguity.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>10+ years of technical lead experience on hardware NPI and deployment for HPC, data center, or cloud infrastructure products, familiar with hardware NPI processes.</li>\n<li>Experience supporting AI/ML infrastructure and accelerated compute hardware (e.g., NVIDIA, AMD, Intel).</li>\n<li>Experience in rack scale server development and liquid cooling designs.</li>\n<li>Exposure to fleet observability, BMC/BIOS/Network configuration and automation.</li>\n<li>Background in performance tuning, benchmarking, and systems validation workflows.</li>\n<li>Can interpret platform-level architecture requirements and select or adapt OEM and white-label solutions to fit.</li>\n<li>Prior experience contributing to reference designs or large-scale infrastructure blueprints.</li>\n<li>Are experienced with vendor-led product development cycles and can drive hardware evaluation, risk mitigation, and feedback into roadmap decisions.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Generous cash &amp; equity compensation</li>\n<li>Health, dental, and vision coverage for you and your dependents</li>\n<li>Wellness and commuter stipends for select roles</li>\n<li>401k Plan with 2% company match (USA employees)</li>\n<li>Flexible paid time off plan</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://jobs.ashbyhq.com/lambda/3fede5ab-bd58-4539-b846-f613c8bc81ff","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://lambda.ai","logo":"https://logos.yubhub.co/lambda.ai.png"},"x-apply-url":"https://jobs.ashbyhq.com/lambda/3fede5ab-bd58-4539-b846-f613c8bc81ff","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$255K - $340K","x-skills-required":["HPC","AI/ML","hardware engineering","cloud infrastructure","hardware NPI"],"x-skills-preferred":["AI/ML infrastructure","accelerated compute hardware","rack scale server development","liquid cooling designs","fleet observability"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-28T22:42:43.636Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"HPC, AI/ML, hardware engineering, cloud infrastructure, hardware NPI, AI/ML infrastructure, accelerated compute hardware, rack scale server development, liquid cooling designs, fleet observability","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":340000,"unitText":"YEAR"}}}]}