{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/ml-workloads"},"x-facet":{"type":"skill","slug":"ml-workloads","display":"Ml Workloads","count":9},"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_792cef6b-cf8"},"title":"Transaction Principal","description":"<p>As a Transaction Principal for Australia at Anthropic, you&#39;ll drive the commercial sourcing and transaction execution process for our Australian data center capacity deals. You&#39;ll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution.</p>\n<p>This role is critical to securing the infrastructure that powers Anthropic&#39;s frontier AI systems in the region , you&#39;ll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Australia market strategy and government relationships. This is not an established leasing org; you&#39;ll be building process alongside execution.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead the RFP and commercial sourcing process for Australian data center deals, managing developer outreach, proposal evaluation, and competitive selection</li>\n<li>Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic&#39;s technical and business requirements while maintaining strong developer partnerships</li>\n<li>Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure</li>\n<li>Serve as project manager for cross-functional stakeholder engagement , coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution</li>\n<li>Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status</li>\n<li>Develop and maintain transaction timelines, tracking critical-path items and proactively identifying risks that could impact deal closure</li>\n<li>Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms</li>\n<li>Manage complex digital infrastructure development activities to a construction-ready state, through a developer or directly</li>\n<li>Marry the right projects, capital stacks, and developers at the right stages</li>\n<li>Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint in region</li>\n<li>Partner with the Compute Markets Manager to prioritize sites and counterparties, and feed deal learnings back into Australia market strategy</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement</li>\n<li>Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution</li>\n<li>Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements</li>\n<li>Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously</li>\n<li>Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions</li>\n<li>Have experience working in or with Australian markets, with knowledge of the local real estate and development landscape</li>\n<li>Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives</li>\n<li>Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution</li>\n<li>Demonstrate exceptional communication skills and can coordinate effectively across time zones with HQ-based teams and external partners</li>\n</ul>\n<p>It&#39;s a bonus if you:</p>\n<ul>\n<li>Have experience with data center or hyperscale infrastructure transactions specifically</li>\n<li>Come from the development side of the industry rather than traditional brokerage/leasing , you understand how DC development works and how value is created (yield-on-cost, cap rates, development fees)</li>\n<li>Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity</li>\n<li>Have worked with legal teams on complex lease negotiations or infrastructure agreements</li>\n<li>Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the Australian context (NEM, grid connection)</li>\n<li>Have relationships within the Australian data center developer and broker ecosystem</li>\n<li>Have a background in corporate development, strategic partnerships, or infrastructure investment</li>\n<li>Have experience in high-growth technology companies managing infrastructure expansion</li>\n</ul>\n<p>Logistics</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_792cef6b-cf8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5154345008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["transaction management","commercial real estate","data center leasing","infrastructure procurement","negotiation","project management","RFP processes","competitive sourcing","Australian markets","local real estate and development landscape","communication skills"],"x-skills-preferred":["data center or hyperscale infrastructure transactions","DC development","yield-on-cost","cap rates","development fees","technical requirements for AI/ML workloads","power density","cooling","network connectivity","utility coordination","power procurement","energy considerations","Australian data center developer and broker ecosystem","corporate development","strategic partnerships","infrastructure investment","high-growth technology companies"],"datePosted":"2026-04-18T15:58:10.532Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sydney, Australia"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"transaction management, commercial real estate, data center leasing, infrastructure procurement, negotiation, project management, RFP processes, competitive sourcing, Australian markets, local real estate and development landscape, communication skills, data center or hyperscale infrastructure transactions, DC development, yield-on-cost, cap rates, development fees, technical requirements for AI/ML workloads, power density, cooling, network connectivity, utility coordination, power procurement, energy considerations, Australian data center developer and broker ecosystem, corporate development, strategic partnerships, infrastructure investment, high-growth technology companies"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ce19e8c0-163"},"title":"Transaction Manager","description":"<p>As a Transaction Manager at Anthropic, you&#39;ll drive the commercial sourcing and transaction execution process for our data center capacity deals. You&#39;ll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution.</p>\n<p>This role is critical to securing the infrastructure that powers Anthropic&#39;s frontier AI systems, requiring you to bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts.</li>\n<li>Lead the RFP and commercial sourcing process for specific data center deals, managing developer outreach, proposal evaluation, and competitive selection processes</li>\n<li>Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic&#39;s technical and business requirements while maintaining strong developer partnerships</li>\n<li>Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure</li>\n<li>Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance organization to ensure alignment prior to lease execution</li>\n<li>Act as the single point of contact (SPOC) for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status</li>\n<li>Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure</li>\n<li>Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint</li>\n<li>Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement</li>\n<li>Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution</li>\n<li>Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements</li>\n<li>Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously</li>\n<li>Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions</li>\n<li>Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners</li>\n<li>Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives</li>\n<li>Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution</li>\n<li>Have a collaborative mindset and can build trust with diverse stakeholder groups across the organization</li>\n</ul>\n<p>It&#39;s a bonus if you:</p>\n<ul>\n<li>Have experience with data center or hyperscale infrastructure transactions specifically</li>\n<li>Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity</li>\n<li>Have worked with legal teams on complex lease negotiations or infrastructure agreements</li>\n<li>Possess familiarity with data center developer ecosystems and market dynamics</li>\n<li>Have experience in high-growth technology companies managing infrastructure expansion</li>\n<li>Understand utility coordination, power procurement, or energy considerations in data center transactions</li>\n<li>Have a background in corporate development, strategic partnerships, or infrastructure investment</li>\n</ul>\n<p>The annual compensation range for this role is $365,000-$435,000 USD.</p>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ce19e8c0-163","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5099080008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$365,000-$435,000 USD","x-skills-required":["transaction management","commercial real estate","data center leasing","infrastructure procurement","RFP processes","competitive sourcing","project management","negotiation skills","term sheets","LOIs","commercial agreements"],"x-skills-preferred":["data center or hyperscale infrastructure transactions","AI/ML workloads","power density","cooling","network connectivity","utility coordination","power procurement","energy considerations"],"datePosted":"2026-04-18T15:56:38.725Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"transaction management, commercial real estate, data center leasing, infrastructure procurement, RFP processes, competitive sourcing, project management, negotiation skills, term sheets, LOIs, commercial agreements, data center or hyperscale infrastructure transactions, AI/ML workloads, power density, cooling, network connectivity, utility coordination, power procurement, energy considerations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":365000,"maxValue":435000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9166d234-4c5"},"title":"Solutions Architect - HPC/AI/ML","description":"<p>As a Solutions Architect at CoreWeave, you will play a vital and dynamic role in helping customers establish their Kubernetes environment, develop proofs of concept, onboard, and optimise workloads. You will serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave&#39;s cloud infrastructure offerings, focusing on AI/ML workloads within high-performance compute (HPC) environments.</p>\n<p>Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements. Lead proof of concept initiatives to showcase the value and viability of CoreWeave&#39;s solutions within specific environments.</p>\n<p>Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise. Act as a virtual member of CoreWeave&#39;s Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.</p>\n<p>Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture. Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimisation and suggesting suitable solutions.</p>\n<p>Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders. Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.</p>\n<p>Represent CoreWeave at conferences and industry events, with occasional travel as required.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9166d234-4c5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4649044006","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$165,000 to $225,000 SGD","x-skills-required":["cloud computing concepts","architecture","technologies","NVIDIA GPUs","Infiniband","NVIDIA Collective Communications Library (NCCL)","Slurm","Kubernetes"],"x-skills-preferred":["code contributions to open-source inference frameworks","scripting and automation related to AI/ML workloads","building solutions across multi-cloud environments","client or customer-facing publications/talks on latency, optimisation, or advanced model-server architectures"],"datePosted":"2026-04-18T15:51:30.371Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"cloud computing concepts, architecture, technologies, NVIDIA GPUs, Infiniband, NVIDIA Collective Communications Library (NCCL), Slurm, Kubernetes, code contributions to open-source inference frameworks, scripting and automation related to AI/ML workloads, building solutions across multi-cloud environments, client or customer-facing publications/talks on latency, optimisation, or advanced model-server architectures","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_18ae1499-b22"},"title":"Research Engineer, Discovery","description":"<p>As a Research Engineer on our team, you will work end-to-end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments</li>\n<li>Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities</li>\n<li>Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI</li>\n<li>Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows</li>\n<li>Collaborate to translate experimental requirements into production-ready infrastructure</li>\n<li>Develop large scale data pipelines to handle advanced language model training requirements</li>\n<li>Optimize large scale training and inference pipelines for stable and efficient reinforcement learning</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems</li>\n<li>Are a strong communicator and enjoy working collaboratively</li>\n<li>Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads</li>\n<li>Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale</li>\n<li>Have proven track record of building large-scale data pipelines and distributed storage systems</li>\n<li>Excel at diagnosing and resolving complex infrastructure challenges in production environments</li>\n<li>Can work effectively across the full ML stack from data pipelines to performance optimization</li>\n<li>Have experience collaborating with other researchers to scale experimental ideas</li>\n<li>Thrive in fast-paced environments and can rapidly iterate from experimentation to production</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.)</li>\n<li>Background in building infrastructure for AI research labs or large-scale ML organizations</li>\n<li>Knowledge of GPU/TPU architectures and language model inference optimization</li>\n<li>Experience with cloud platforms (AWS, GCP) at enterprise scale</li>\n<li>Familiarity with VM and container orchestration</li>\n<li>Experience with workflow orchestration tools and experiment management systems</li>\n<li>History working with large scale reinforcement learning</li>\n<li>Comfort with large scale data pipelines (Beam, Spark, Dask, …)</li>\n</ul>\n<p>The annual compensation range for this role is $350,000-$850,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_18ae1499-b22","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4669581008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000-$850,000 USD","x-skills-required":["large-scale distributed systems","containerization technologies (Docker, Kubernetes)","performance optimization techniques","system architectures for high-throughput ML workloads","data pipelines","distributed storage systems","ML frameworks (PyTorch, JAX, etc.)","GPU/TPU architectures","cloud platforms (AWS, GCP)","VM and container orchestration","workflow orchestration tools","experiment management systems","reinforcement learning","large scale data pipelines (Beam, Spark, Dask, …)"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:41:42.408Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"large-scale distributed systems, containerization technologies (Docker, Kubernetes), performance optimization techniques, system architectures for high-throughput ML workloads, data pipelines, distributed storage systems, ML frameworks (PyTorch, JAX, etc.), GPU/TPU architectures, cloud platforms (AWS, GCP), VM and container orchestration, workflow orchestration tools, experiment management systems, reinforcement learning, large scale data pipelines (Beam, Spark, Dask, …)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_93a43345-780"},"title":"FinOps Program Manager","description":"<p>We believe that the way people interact with their finances will drastically improve in the next few years. We&#39;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life.</p>\n<p>The FinOps function is responsible for financial accountability, visibility, and optimization across all engineering-related spend at Plaid. This includes cloud infrastructure, AI/ML and data workloads, third-party SaaS tools, and other technical investments that support Plaid&#39;s products and internal platforms.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Monitors and analyzes engineering spend across cloud, AI/ML, data platforms, and SaaS, identifying trends, anomalies, and optimization opportunities.</li>\n<li>Builds and maintains forecasts for engineering spend, partnering with Finance and engineering leaders to understand drivers, assumptions, and risks.</li>\n<li>Partners with engineering, product, and TPMs to incorporate cost considerations into roadmaps, architectural decisions, and execution plans.</li>\n<li>Leads cost optimization initiatives, such as rightsizing, commitment strategies, and workload efficiency improvements, in collaboration with engineering owners.</li>\n<li>Creates and maintains dashboards and reporting that make spend understandable and actionable for both engineers and executives.</li>\n<li>Implements FinOps practices and processes, including showback/chargeback models, unit economics, and cost ownership frameworks.</li>\n<li>Partners on tooling and automation, working with data and engineering teams to improve cost visibility, forecasting accuracy, and operational efficiency.</li>\n<li>Drives alignment and behavior change, helping teams balance cost, performance, reliability, and velocity through data-driven decision making.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>6–10+ years of relevant experience working at the intersection of engineering, infrastructure, data, or finance in a cloud-native or SaaS environment.</li>\n<li>Proven experience partnering closely with engineering teams to influence decisions involving cloud infrastructure, data platforms, AI/ML workloads, or SaaS spend.</li>\n<li>Working understanding of modern cloud-native architectures, including core components such as compute, storage, networking, data pipelines, and managed services,enough to engage credibly with engineers on design, tradeoffs, and cost drivers.</li>\n<li>Strong foundation in cost analysis, forecasting, budgeting, and variance management, with the ability to translate data into clear, actionable insights.</li>\n<li>Comfort working directly with data, including writing SQL (or effectively using AI-assisted tools to do so) to explore datasets, validate assumptions, and answer ad hoc questions.</li>\n<li>Experience building clear, high-quality dashboards and BI artifacts that are not only accurate, but intuitive and delightful for engineers and leaders to use.</li>\n<li>Demonstrated success driving adoption and behavior change,embedding cost awareness into day-to-day engineering workflows, not just producing reports.</li>\n<li>Experience owning and delivering cross-functional programs end-to-end, often without direct authority or a dedicated team.</li>\n<li>Familiarity with FinOps principles and practices (e.g., shared ownership, showback/chargeback, unit economics, optimization strategies).</li>\n<li>Strong communication skills, with the ability to tailor complex technical and financial concepts for engineering, finance, and executive audiences.</li>\n</ul>\n<p><strong>Nice to Haves</strong></p>\n<ul>\n<li>Hands-on familiarity with cloud cost management tools (e.g., AWS Cost Explorer, GCP Billing, Azure Cost Management, CloudHealth, Cloudability, or similar).</li>\n<li>Experience working with or supporting data platforms and AI/ML workloads, including understanding cost drivers for batch processing, streaming, storage, and model training/inference.</li>\n<li>Exposure to showback/chargeback models, cost allocation strategies, or product-level unit economics.</li>\n<li>Experience improving data models or pipelines that support analytics, reporting, or financial attribution.</li>\n<li>Familiarity with BI tools such as Mode, Tableau, Looker, or similar,and a strong eye for dashboard usability and design.</li>\n<li>Background in a technical role (e.g., engineering, TPM, infra, data, or engineering operations) before moving into a more cross-functional or business-oriented position.</li>\n<li>Experience operating in a high-growth or rapidly scaling environment, where cost structures and investment priorities are evolving quickly.</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn&#39;t fully match the job description.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_93a43345-780","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Plaid","sameAs":"https://plaid.com/","logo":"https://logos.yubhub.co/plaid.com.png"},"x-apply-url":"https://jobs.lever.co/plaid/acb399b1-e0f8-45f3-bffa-c89c9c573a12","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$172,800-$259,200 per year","x-skills-required":["cloud infrastructure","AI/ML","data platforms","SaaS","cost analysis","forecasting","budgeting","variance management","SQL","data visualization","dashboard creation","cross-functional program management","FinOps principles","showback/chargeback models","unit economics","optimization strategies"],"x-skills-preferred":["cloud cost management tools","data platforms and AI/ML workloads","cost allocation strategies","product-level unit economics","BI tools","technical role background","high-growth environment experience"],"datePosted":"2026-04-17T12:52:18.112Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"cloud infrastructure, AI/ML, data platforms, SaaS, cost analysis, forecasting, budgeting, variance management, SQL, data visualization, dashboard creation, cross-functional program management, FinOps principles, showback/chargeback models, unit economics, optimization strategies, cloud cost management tools, data platforms and AI/ML workloads, cost allocation strategies, product-level unit economics, BI tools, technical role background, high-growth environment experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":172800,"maxValue":259200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3cc256d7-b0a"},"title":"Transaction Manager","description":"<p>As a Transaction Manager at Anthropic, you&#39;ll drive the commercial sourcing and transaction execution process for our data centre capacity deals. You&#39;ll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution.</p>\n<p>This role is critical to securing the infrastructure that powers Anthropic&#39;s frontier AI systems, requiring you to bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Help identify data centre capacity opportunities and options through management of network relationships across data centre developer, broker, and power contacts.</li>\n<li>Lead the RFP and commercial sourcing process for specific data centre deals, managing developer outreach, proposal evaluation, and competitive selection processes</li>\n<li>Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic&#39;s technical and business requirements while maintaining strong developer partnerships</li>\n<li>Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure</li>\n<li>Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organisation, platform engineers, and finance organisation to ensure alignment prior to lease execution</li>\n<li>Act as the single point of contact (SPOC) for auxiliary organisations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status</li>\n<li>Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure</li>\n<li>Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint</li>\n<li>Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 10+ years of experience in transaction management, commercial real estate, data centre leasing, or infrastructure procurement</li>\n<li>Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution</li>\n<li>Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements</li>\n<li>Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously</li>\n<li>Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions</li>\n<li>Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners</li>\n<li>Are highly organised with strong attention to detail while maintaining focus on strategic deal objectives</li>\n<li>Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution</li>\n<li>Have a collaborative mindset and can build trust with diverse stakeholder groups across the organisation</li>\n</ul>\n<p>It&#39;s a bonus if you:</p>\n<ul>\n<li>Have experience with data centre or hyperscale infrastructure transactions specifically</li>\n<li>Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity</li>\n<li>Have worked with legal teams on complex lease negotiations or infrastructure agreements</li>\n<li>Possess familiarity with data centre developer ecosystems and market dynamics</li>\n<li>Have experience in high-growth technology companies managing infrastructure expansion</li>\n<li>Understand utility coordination, power procurement, or energy considerations in data centre transactions</li>\n<li>Have a background in corporate development, strategic partnerships, or infrastructure investment</li>\n</ul>\n<p>The annual compensation range for this role is $365,000 - $435,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3cc256d7-b0a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5099080008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$365,000 - $435,000 USD","x-skills-required":["transaction management","commercial real estate","data centre leasing","infrastructure procurement","RFP processes","competitive sourcing","project management","negotiation skills","communication skills","collaboration","attention to detail"],"x-skills-preferred":["data centre or hyperscale infrastructure transactions","AI/ML workloads","legal teams","data centre developer ecosystems","high-growth technology companies","utility coordination","power procurement","energy considerations","corporate development","strategic partnerships","infrastructure investment"],"datePosted":"2026-03-08T13:56:15.962Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"transaction management, commercial real estate, data centre leasing, infrastructure procurement, RFP processes, competitive sourcing, project management, negotiation skills, communication skills, collaboration, attention to detail, data centre or hyperscale infrastructure transactions, AI/ML workloads, legal teams, data centre developer ecosystems, high-growth technology companies, utility coordination, power procurement, energy considerations, corporate development, strategic partnerships, infrastructure investment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":365000,"maxValue":435000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5ef0c826-856"},"title":"Engineering Manager, Safeguards Data Infrastructure","description":"<p><strong>About the role</strong></p>\n<p>Anthropic&#39;s Safeguards team is responsible for the systems that allow us to deploy powerful AI models responsibly — and the data infrastructure underneath those systems is foundational to getting that right. The Safeguards Data Infrastructure team owns the offline data stack that underpins our safeguards work: the storage layer for sensitive user data, the tooling built on top of it, and the interfaces that let the rest of the Safeguards organisation access that data safely and ergonomically.</p>\n<p>As Engineering Manager of this team, you&#39;ll be responsible for ensuring full portability of our safeguards data stack across an expanding set of deployment environments, building privacy-preserving data interfaces that enable ML and training workflows, and driving compliance with data regulations including HIPAA. This is a role at the intersection of infrastructure engineering, data privacy, and enterprise product requirements — and it sits at a critical juncture as Anthropic scales into new cloud environments and geographies</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Lead and grow a team of engineers delivering the data infrastructure and tooling that powers Anthropic&#39;s safeguards capabilities</li>\n<li>Own the strategy and execution for porting the safeguards offline data stack — including PII storage and tooling — across new cloud and deployment environments as Anthropic expands</li>\n<li>Build and maintain privacy-safe data APIs and interfaces that enable ML and training workflows while respecting data retention and access constraints</li>\n<li>Drive tooling and architecture decisions that maximise data retention within the bounds of our privacy and compliance requirements</li>\n<li>Manage privacy incident response processes and partner with compliance teams on regulatory requirements (e.g. HIPAA, EU privacy regulations)</li>\n<li>Collaborate closely with enterprise customers and product teams on zero data retention offerings, working balancing safety needs with robust enterprise data contracts</li>\n<li>Independently own and drive multiple workstreams, including planning, execution, and cross-team coordination</li>\n<li>Coach, mentor, and support the career development of your direct reports, helping them set and achieve their professional goals</li>\n<li>Partner with recruiting to attract, hire, and retain strong engineering talent</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 4+ years of front-line engineering management experience</li>\n<li>Have a track record of leading teams that build and operate data infrastructure at scale</li>\n<li>Have hands-on software engineering experience as an individual contributor prior to moving into management</li>\n<li>Have a strong understanding of data privacy principles, PII handling, and compliance frameworks</li>\n<li>Are comfortable driving technical decisions in an ambiguous, fast-moving environment with competing priorities</li>\n<li>Have experience working cross-functionally across infrastructure, product, and compliance or security teams</li>\n<li>Are clear and persuasive communicators, both in writing and in person</li>\n</ul>\n<p><strong>Strong candidates may also:</strong></p>\n<ul>\n<li>Have experience with multi-cloud or multi-region data portability, particularly in regulated environments</li>\n<li>Have built privacy-preserving data pipelines or interfaces for ML workloads</li>\n<li>Have experience with enterprise data contracts or zero data retention architectures</li>\n<li>Have explored novel approaches to data processing under strict access constraints, such as in-memory storage and compute for sensitive data</li>\n<li>Have a passion for building diverse and inclusive teams</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5ef0c826-856","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5103078008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$405,000 - $485,000USD\n£325,000 - £390,000GBP","x-skills-required":["data infrastructure","data privacy","compliance frameworks","software engineering","team management","cross-functional collaboration","communication","data portability","multi-cloud","multi-region","regulated environments","privacy-preserving data pipelines","ML workloads","enterprise data contracts","zero data retention architectures"],"x-skills-preferred":["in-memory storage","compute for sensitive data","novel approaches to data processing","diverse and inclusive teams"],"datePosted":"2026-03-08T13:42:50.694Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK; New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data infrastructure, data privacy, compliance frameworks, software engineering, team management, cross-functional collaboration, communication, data portability, multi-cloud, multi-region, regulated environments, privacy-preserving data pipelines, ML workloads, enterprise data contracts, zero data retention architectures, in-memory storage, compute for sensitive data, novel approaches to data processing, diverse and inclusive teams","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":325000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d3a39f4c-d95"},"title":"Software Engineer, Inference - Multi Modal","description":"<p><strong>Software Engineer, Inference - Multi Modal</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Scaling</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$295K – $555K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>OpenAI’s Inference team powers the deployment of our most advanced models - including our GPT models, 4o Image Generation, and Whisper - across a variety of platforms. Our work ensures these models are available, performant, and scalable in production, and we partner closely with Research to bring the next generation of models into the world. We&#39;re a small, fast-moving team of engineers focused on delivering a world-class developer experience while pushing the boundaries of what AI can do.</p>\n<p>We’re expanding into multimodal inference, building the infrastructure needed to serve models that handle image, audio, and other non-text modalities. These workloads are inherently more heterogeneous and experimental, involving diverse model sizes and interactions, more complex input/output formats, and tighter coordination with product and research.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for a software engineer to help us serve OpenAI’s multimodal models at scale. You’ll be part of a small team responsible for building reliable, high-performance infrastructure for serving real-time audio, image, and other MM workloads in production.</p>\n<p>This work is inherently cross-functional: you’ll collaborate directly with researchers training these models and with product teams defining new modalities of interaction. You&#39;ll build and optimize the systems that let users generate speech, understand images, and interact with models in ways far beyond text.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design and implement inference infrastructure for large-scale multimodal models.</li>\n</ul>\n<ul>\n<li>Optimize systems for high-throughput, low-latency delivery of image and audio inputs and outputs.</li>\n</ul>\n<ul>\n<li>Enable experimental research workflows to transition into reliable production services.</li>\n</ul>\n<ul>\n<li>Collaborate closely with researchers, infra teams, and product engineers to deploy state-of-the-art capabilities.</li>\n</ul>\n<ul>\n<li>Contribute to system-level improvements including GPU utilization, tensor parallelism, and hardware abstraction layers.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have experience building and scaling inference systems for LLMs or multimodal models.</li>\n</ul>\n<ul>\n<li>Have worked with GPU-based ML workloads and understand the performance dynamics of large models, especially with complex data like images or audio.</li>\n</ul>\n<ul>\n<li>Enjoy experimental, fast-evolving work and collaborating closely with research.</li>\n</ul>\n<ul>\n<li>Are comfortable dealing with systems that span networking, distributed compute, and high-throughput data handling.</li>\n</ul>\n<ul>\n<li>Have familiarity with inference tooling like vLLM, TensorRT-LLM, or custom model parallel systems.</li>\n</ul>\n<ul>\n<li>Own problems end-to-end and are excited to operate in ambiguous, fast-moving spaces.</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience working with image generation or audio synthesis models in production.</li>\n</ul>\n<ul>\n<li>Exposure to distributed ML training or system-efficient model design.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d3a39f4c-d95","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/4d14449e-5e7f-45d4-b103-8776a6c87086","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$295K – $555K • Offers Equity","x-skills-required":["Software Engineer","Inference Infrastructure","GPU-based ML Workloads","Tensor Parallelism","Hardware Abstraction Layers","vLLM","TensorRT-LLM","Custom Model Parallel Systems"],"x-skills-preferred":["Image Generation","Audio Synthesis","Distributed ML Training","System-Efficient Model Design"],"datePosted":"2026-03-06T18:31:07.882Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software Engineer, Inference Infrastructure, GPU-based ML Workloads, Tensor Parallelism, Hardware Abstraction Layers, vLLM, TensorRT-LLM, Custom Model Parallel Systems, Image Generation, Audio Synthesis, Distributed ML Training, System-Efficient Model Design","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":295000,"maxValue":555000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_43ec3483-7d3"},"title":"Software Engineer, Fleet Infrastructure","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Software Engineer, Fleet Infrastructure</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Scaling</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $490K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>Job Description</strong></p>\n<p>This role will support the fleet infrastructure team at OpenAI. The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support OpenAI’s general purpose model training and deployment. Work on this team ranges from</p>\n<ul>\n<li>Maximizing GPUs doing useful work by building user-friendly scheduling and quota systems</li>\n</ul>\n<ul>\n<li>Running a reliable and low maintenance platform by building push-button automation for kubernetes cluster provisioning and upgrades</li>\n</ul>\n<ul>\n<li>Supporting research workflows with service frameworks and deployment systems</li>\n</ul>\n<ul>\n<li>Ensuring fast model startup times though high performance snapshot delivery across blob storage down to hardware caching</li>\n</ul>\n<ul>\n<li>Much more!</li>\n</ul>\n<p><strong>About the Role</strong></p>\n<p>As an engineer within Fleet infrastructure, you will design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world’s largest GPU fleet. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI&#39;s mission to advance AI capabilities responsibly.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems.</li>\n</ul>\n<ul>\n<li>Interface with researchers and product teams to understand workload requirements</li>\n</ul>\n<ul>\n<li>Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability service</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have experience with hyperscale compute systems</li>\n</ul>\n<ul>\n<li>Possess strong programming skills</li>\n</ul>\n<ul>\n<li>Have experience working in public clouds (especially Azure)</li>\n</ul>\n<ul>\n<li>Have experience working in Kubernetes</li>\n</ul>\n<ul>\n<li>Execution focused mentality paired with a rigorous focus on user requirements</li>\n</ul>\n<ul>\n<li>As a bonus, have an understanding of AI/ML workloads</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_43ec3483-7d3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/a58add97-1968-4d5c-b504-ab62bea12df3","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$230K – $490K • Offers Equity","x-skills-required":["hyperscale compute systems","programming skills","public clouds (especially Azure)","Kubernetes","execution focused mentality","AI/ML workloads"],"x-skills-preferred":["hyperscale compute systems","programming skills","public clouds (especially Azure)","Kubernetes","execution focused mentality","AI/ML workloads"],"datePosted":"2026-03-06T18:28:45.114Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"hyperscale compute systems, programming skills, public clouds (especially Azure), Kubernetes, execution focused mentality, AI/ML workloads, hyperscale compute systems, programming skills, public clouds (especially Azure), Kubernetes, execution focused mentality, AI/ML workloads","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":490000,"unitText":"YEAR"}}}]}