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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_740da2af-174"},"title":"Security Engineer, Detection & Response","description":"<p>We are seeking a Senior Security Engineer with a specialty in Detection and Incident Response to join our Security Engineering team. This role sits at the intersection of security operations and software engineering, requiring you to investigate incidents and build the systems that detect, contain, and prevent them.</p>\n<p>You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance.</li>\n</ul>\n<ul>\n<li>Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity.</li>\n</ul>\n<ul>\n<li>Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity.</li>\n</ul>\n<ul>\n<li>Perform digital incident investigations to identify and contain potential security breaches.</li>\n</ul>\n<ul>\n<li>Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies.</li>\n</ul>\n<ul>\n<li>Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows.</li>\n</ul>\n<ul>\n<li>Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organisation.</li>\n</ul>\n<ul>\n<li>Utilize threat intelligence platforms to improve hunting, detection, and response workflows.</li>\n</ul>\n<ul>\n<li>Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders.</li>\n</ul>\n<p>Ideal Candidate:</p>\n<ul>\n<li>5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation.</li>\n</ul>\n<ul>\n<li>Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code , not just scripts.</li>\n</ul>\n<ul>\n<li>Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments.</li>\n</ul>\n<ul>\n<li>Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically.</li>\n</ul>\n<ul>\n<li>Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs.</li>\n</ul>\n<ul>\n<li>Familiarity with digital forensics tools and malware analysis techniques.</li>\n</ul>\n<ul>\n<li>Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate.</li>\n</ul>\n<ul>\n<li>Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows.</li>\n</ul>\n<ul>\n<li>Strong communication skills, with the ability to translate complex security findings into clear business impact.</li>\n</ul>\n<ul>\n<li>Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a plus.</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</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_740da2af-174","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4684073005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$237,600-$297,000 USD","x-skills-required":["Detection Engineering","Incident Response","Security Operations","Cloud Services","Enterprise SaaS","Automation","Telemetry Pipelines","Digital Forensics","Malware Analysis","Threat Intelligence Platforms","SIEM","EDR","SOAR","Cloud-Native Environments","Programming Languages","Python","Go"],"x-skills-preferred":["Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments","Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically","Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs","Familiarity with digital forensics tools and malware analysis techniques","Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate","Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows","Strong communication skills, with the ability to translate complex security findings into clear business impact","Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA)"],"datePosted":"2026-04-18T16:00:14.303Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; 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Experience with reliability engineering, SLA development, and failure-mode analysis.</li>\n</ul>\n<ul>\n<li>Proficiency in statistical modeling and simulation for infrastructure capacity or power utilization.</li>\n</ul>\n<ul>\n<li>Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience building software that bridges IT and OT.</li>\n</ul>\n<ul>\n<li>Exposure to accelerator deployments and their power management interfaces strongly preferred.</li>\n</ul>\n<ul>\n<li>Demand response, grid interaction, or behind-the-meter generation experience is a plus.</li>\n</ul>\n<ul>\n<li>Ability to translate between infrastructure engineering, software teams, and external partners.</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Electrical Engineering, Mechanical Engineering, Power Systems, Controls Engineering, or a related field.</li>\n</ul>\n<ul>\n<li>5+ years of experience in data center infrastructure or facility engineering.</li>\n</ul>\n<ul>\n<li>Demonstrated experience with data center power distribution and cooling system architectures.</li>\n</ul>\n<ul>\n<li>Experience building or operating software-based power management, load scheduling, or control systems.</li>\n</ul>\n<ul>\n<li>Proficiency in Python or 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Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world&#39;s most demanding AI workloads.</p>\n<p>The role involves designing and implementing distributed storage solutions to support scaling data-intensive AI workloads, contributing to the development of exabyte-scale, S3-compatible object storage, and integrating dedicated storage clusters into diverse customer environments.</p>\n<p>Key responsibilities include working with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols like NFS or FUSE to optimise storage performance and efficiency, participating in efforts to improve the reliability, durability, and observability of our storage stack, collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments, and helping develop metrics and dashboards to provide visibility into storage performance and health.</p>\n<p>The ideal candidate will have a strong background in storage systems engineering or infrastructure, with experience working with object storage or distributed filesystems in production environments, proficiency in a systems programming language like Go, C, or Rust, and familiarity with storage observability tools and telemetry pipelines.</p>\n<p>As a senior software engineer, you will be responsible for designing, developing, and deploying scalable and efficient storage solutions, working closely with cross-functional teams to ensure seamless integration with other components of the platform, and mentoring junior engineers to help them grow in their roles.</p>\n<p>If you are passionate about building high-performance storage solutions and have a strong background in software engineering, we encourage you to apply for this exciting opportunity.</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_0ae48270-bef","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/4643524006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,000 to $204,000","x-skills-required":["Storage systems engineering","Infrastructure","Object storage","Distributed filesystems","RDMA","GPU Direct Storage","NFS","FUSE","Systems programming languages (Go, C, Rust)","Storage observability tools","Telemetry pipelines"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:51:26.395Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ/ New York , NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Storage systems engineering, Infrastructure, Object storage, Distributed filesystems, RDMA, GPU Direct Storage, NFS, FUSE, Systems programming languages (Go, C, Rust), Storage observability tools, Telemetry pipelines","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139000,"maxValue":204000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f2c6f765-eca"},"title":"Staff Engineer, Storage Control Plane","description":"<p>We&#39;re looking for a Staff Storage Engineer to play a key role in designing, building, and operating the control plane for our high-performance AI storage platform. You&#39;ll help evolve CoreWeave&#39;s storage systems by building reliable, scalable, and high-throughput solutions that power some of the largest and innovative AI workloads in the world.</p>\n<p>This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability.</p>\n<p>About the role:</p>\n<ul>\n<li>Design and implement a highly scalable multi-tenant control plane that supports CoreWeave&#39;s growing AI storage and cloud infrastructure needs.</li>\n</ul>\n<ul>\n<li>Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.</li>\n</ul>\n<ul>\n<li>Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.</li>\n</ul>\n<ul>\n<li>Participate in efforts to improve the reliability, durability, and observability of our storage stack.</li>\n</ul>\n<ul>\n<li>Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.</li>\n</ul>\n<ul>\n<li>Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.</li>\n</ul>\n<ul>\n<li>Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in Computer Science, Engineering, or a related field.</li>\n</ul>\n<ul>\n<li>10+ years of experience working in storage systems engineering or infrastructure.</li>\n</ul>\n<ul>\n<li>Strong hands-on experience with object storage or distributed filesystems in production environments.</li>\n</ul>\n<ul>\n<li>Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.</li>\n</ul>\n<ul>\n<li>Proficiency in a systems programming language such as Go, C++, or Rust.</li>\n</ul>\n<ul>\n<li>Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).</li>\n</ul>\n<ul>\n<li>Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.</li>\n</ul>\n<ul>\n<li>Strong debugging and problem-solving skills in distributed, high-performance environments.</li>\n</ul>\n<ul>\n<li>Clear communicator, able to work collaboratively across teams and share technical insights effectively.</li>\n</ul>\n<p>Wondering if you&#39;re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren&#39;t a 100% skill or experience match. Here are a few qualities we&#39;ve found compatible with our team. If some of this describes you, we&#39;d love to talk.</p>\n<p>Why CoreWeave?</p>\n<p>At CoreWeave, we work hard, have fun, and move fast! We&#39;re in an exciting stage of hyper-growth that you will not want to miss out on. We&#39;re not afraid of a little chaos, and we&#39;re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>\n<ul>\n<li>Be Curious at Your Core</li>\n</ul>\n<ul>\n<li>Act Like an Owner</li>\n</ul>\n<ul>\n<li>Empower Employees</li>\n</ul>\n<ul>\n<li>Deliver Best-in-Class Client Experiences</li>\n</ul>\n<ul>\n<li>Achieve More Together</li>\n</ul>\n<p>We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!</p>\n<p>The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>What We Offer</p>\n<p>The range we&#39;ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance</li>\n</ul>\n<ul>\n<li>100% paid for by CoreWeave</li>\n</ul>\n<ul>\n<li>Company-paid Life Insurance</li>\n</ul>\n<ul>\n<li>Voluntary supplemental life insurance</li>\n</ul>\n<ul>\n<li>Short and long-term disability insurance</li>\n</ul>\n<ul>\n<li>Flexible Spending Account</li>\n</ul>\n<ul>\n<li>Health Savings Account</li>\n</ul>\n<ul>\n<li>Tuition Reimbursement</li>\n</ul>\n<ul>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n</ul>\n<ul>\n<li>Mental Wellness Benefits through Spring Health</li>\n</ul>\n<ul>\n<li>Family-Forming support provided by Carrot</li>\n</ul>\n<ul>\n<li>Paid Parental Leave</li>\n</ul>\n<ul>\n<li>Flexible, full-service childcare support with Kinside</li>\n</ul>\n<ul>\n<li>401(k) with a generous employer match</li>\n</ul>\n<ul>\n<li>Flexible PTO</li>\n</ul>\n<ul>\n<li>Catered lunch each day in our office and data center locations</li>\n</ul>\n<ul>\n<li>A casual work environment</li>\n</ul>\n<ul>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p>Our Workplace</p>\n<p>While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.</p>\n<p>California Consumer Privacy Act - California applicants only</p>\n<p>CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.</p>\n<p>Export Control Compliance</p>\n<p>This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. 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Additionally, the successful candidate will work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency.</p>\n<p>Key responsibilities also include leading efforts to improve the reliability, durability, security, and observability of our storage stack, collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments, setting the bar for developing metrics and dashboards to provide visibility into storage performance and health, analyzing telemetry and system data to drive improvements in throughput, latency, and resilience, and working cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.</p>\n<p>A key aspect of this role is sharing knowledge and mentoring other engineers on best practices in building distributed, high-performance systems.</p>\n<p>To be successful in this role, the ideal candidate will have a strong background in storage systems engineering or infrastructure, with a minimum of 8-10 years of experience. They will also have hands-on experience with object storage or distributed filesystems in production environments, as well as proficiency in a systems programming language such as Go, C, or Rust. Additionally, they will have experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures, and familiarity with storage observability tools and telemetry pipelines.</p>\n<p>If you&#39;re a motivated and experienced engineer looking to join a dynamic team and contribute to the development of cutting-edge storage solutions, we encourage you to apply for this exciting opportunity.</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_2d198020-3d5","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/4664429006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$143,000 to $210,000","x-skills-required":["storage systems engineering","infrastructure","object storage","distributed filesystems","RDMA","GPU Direct Storage","NFS","FUSE","cloud-native infrastructure","Kubernetes","scalable system architectures","storage observability tools","telemetry pipelines"],"x-skills-preferred":["Go","C","Rust","distributed systems","high-performance systems","storage performance and efficiency"],"datePosted":"2026-04-18T15:49:07.662Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"storage systems engineering, infrastructure, object storage, distributed filesystems, RDMA, GPU Direct Storage, NFS, FUSE, cloud-native infrastructure, Kubernetes, scalable system architectures, storage observability tools, telemetry pipelines, Go, C, Rust, distributed systems, high-performance systems, storage performance and efficiency","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":143000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9cd0420a-99d"},"title":"Network Engineer, Capacity and Efficiency","description":"<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for a network engineer who thinks in metrics first. You will use deep networking knowledge and rigorous measurement to figure out where and how bandwidth, latency, and dollars are being used, find optimization opportunities and land them.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build the network observability stack. Design and deploy telemetry pipelines , sFlow/IPFIX, gNMI streaming, eBPF host probes , that turn packet counters into per-flow, per-tenant, per-workload cost and utilization data. Own the SLIs for backbone and DCN fabric health.</li>\n<li>Hunt for efficiency. Analyze inter-region traffic patterns, identify hot links and stranded capacity, and quantify the dollar impact. Build the models that tell us whether we should buy more capacity, or move the workload.</li>\n<li>Own QoS and traffic engineering. Design and operate traffic classification, marking, and shaping across the backbone. Make sure bulk checkpoint transfers don’t starve latency-sensitive inference, and that we’re not paying premium cross-region rates for traffic that could take the cheap path.</li>\n<li>Drive cost attribution. Tie network spend , egress, interconnect ports, transit, optical leases , back to the teams and workloads that generate it. Make network cost a first-class input to capacity planning and workload placement decisions.</li>\n<li>Influence decisions you don&#39;t own. A large fraction of this role is convincing other teams to act on what your data shows: making the case to research that a traffic pattern needs to change, to finance that an interconnect tranche is worth buying, to Systems Networking that a QoS policy needs rewriting.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 5+ years operating large-scale production networks , data center fabrics (spine-leaf, Clos), backbone/WAN, or hyperscaler-adjacent environments.</li>\n<li>Are genuinely fluent across the stack: BGP (including policy and communities), ECMP, VXLAN/EVPN or equivalent overlays, QoS (DSCP, queuing, shaping), and L1/optical basics (DWDM, coherent, LAGs).</li>\n<li>Know at least one major CSP’s networking model deeply , AWS (VPC, TGW, Direct Connect, Gateway Load Balancer) or GCP (Shared VPC, Interconnect, Cloud Router, Network Connectivity Center) , and understand how their overlays interact with physical underlays.</li>\n<li>Have built or operated network telemetry at scale: streaming telemetry (gNMI/OpenConfig), flow export (sFlow, IPFIX, NetFlow), or eBPF-based host-side instrumentation. You can reason about sampling, cardinality, and storage tradeoffs.</li>\n<li>Comfortable writing Python or Go to build tooling, telemetry pipelines, infrastructure-as-code, config management for network devices and automation, that you’ll ship to production.</li>\n<li>Think quantitatively by default. You reach for a notebook or a Grafana query before you reach for an opinion, and you can turn messy counter data into a defensible cost model.</li>\n<li>Communicate crisply. You can explain to a finance partner why a 10% egress reduction matters, and to a network engineer why a specific ECMP imbalance is costing real money.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>SRE experience for large-scale network infrastructure , designing for reliability, defining SLOs/SLIs for network services, capacity planning with error budgets, and incident response for network-impacting outages at scale.</li>\n<li>Background on a cloud provider&#39;s networking team or a cloud networking product team , building or operating the interconnect, backbone, or SDN control plane from the provider side, not just consuming it as a customer.</li>\n<li>Familiarity with AI/ML infrastructure traffic patterns like collective communication (all-reduce, all-gather), checkpoint/weight transfer, inference serving, and how these stress networks differ than traditional workloads in terms of burst behavior, flow synchronization, and bandwidth symmetry.</li>\n<li>Experience with HPC fabrics like InfiniBand, RoCE v2, lossless Ethernet, or custom high-radix topologies and an understanding of how job placement, congestion management, and adaptive routing interact at scale.</li>\n<li>Background in traffic engineering for large backbones and the operational judgment to know when TE is worth the complexity.</li>\n<li>Hands-on time with multi-cloud connectivity: cross-cloud peering, private interconnect products, and the billing models that come with them.</li>\n<li>Experience building cost/chargeback systems for shared infrastructure, or FinOps exposure in a large cloud environment.</li>\n</ul>\n<p><strong>Representative Projects</strong></p>\n<ul>\n<li>Build a per-flow cost attribution pipeline that traces every byte of cross-region egress back to the team and workload that generated it</li>\n<li>Design QoS policy for the private backbone that prevents bulk checkpoint transfers from starving inference traffic</li>\n<li>Model whether it&#39;s cheaper to buy an additional 1.6Tb interconnect tranche or to re-route traffic through existing capacity</li>\n<li>Instrument DCN fabric utilization with streaming telemetry and build the Grafana dashboards that become the team&#39;s source of truth for network observability</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_9cd0420a-99d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5177143008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["network engineering","network observability","telemetry pipelines","sFlow/IPFIX","gNMI streaming","eBPF host probes","BGP","ECMP","VXLAN/EVPN","QoS","DSCP","queuing","shaping","L1/optical basics","DWDM","coherent","LAGs","AWS","GCP","cloud networking","infrastructure-as-code","config management","automation","Python","Go","quantitative analysis","cost modeling","communication"],"x-skills-preferred":["SRE","cloud provider's networking team","cloud networking product team","AI/ML infrastructure traffic patterns","HPC fabrics","traffic engineering","multi-cloud connectivity","cost/chargeback systems","FinOps"],"datePosted":"2026-04-18T15:42:29.482Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"network engineering, network observability, telemetry pipelines, sFlow/IPFIX, gNMI streaming, eBPF host probes, BGP, ECMP, VXLAN/EVPN, QoS, DSCP, queuing, shaping, L1/optical basics, DWDM, coherent, LAGs, AWS, GCP, cloud networking, infrastructure-as-code, config management, automation, Python, Go, quantitative analysis, cost modeling, communication, SRE, cloud provider's networking team, cloud networking product team, AI/ML infrastructure traffic patterns, HPC fabrics, traffic engineering, multi-cloud connectivity, cost/chargeback systems, FinOps"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e53014e6-57c"},"title":"Data Center Engineer, Resource Efficiency – Compute Supply","description":"<p>As a Power &amp; Resource Efficiency Engineer, you&#39;ll sit at the intersection of IT and facilities , building the systems, models, and control loops that optimize how we allocate and consume power, cooling, and physical capacity across our TPU/GPU fleet.</p>\n<p>You&#39;ll own the technical strategy for turning raw data center capacity into reliable, efficient compute, working across power topology, workload scheduling, and real-time telemetry to push utilization as close to the physical envelope as possible while maintaining our availability commitments.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building models that forecast consumption across electrical and mechanical subsystems, informing capacity planning, energy procurement, oversubscription targets and risks, including statistical modeling of cluster utilization, workload profiles, and failure modes.</li>\n</ul>\n<ul>\n<li>Designing IT/OT interfaces that bridge compute orchestration with facility controls, enabling real-time telemetry across accelerator hardware, power distribution, cooling, and schedulers.</li>\n</ul>\n<ul>\n<li>Building and operating load management systems that use power and cooling topology to enable load management and power/thermal-aware placement to maximize throughput while meeting SLOs.</li>\n</ul>\n<ul>\n<li>Partnering with data center providers to drive design optimizations and hold them accountable to SLA-grade performance standards, providing technical diligence on partner architectures.</li>\n</ul>\n<p>In this role, you&#39;ll need to have deep knowledge of data center power distribution and cooling architectures, and how they interact with IT load profiles. Experience with reliability engineering, SLA development, and failure-mode analysis is also essential.</p>\n<p>Additionally, proficiency in statistical modeling and simulation for infrastructure capacity or power utilization, familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems, and exposure to accelerator deployments and their power management interfaces are highly desirable.</p>\n<p>This is a challenging and rewarding role that requires a unique blend of technical expertise, business acumen, and collaboration skills. If you&#39;re passionate about data center infrastructure, AI, and sustainability, we encourage you to apply.</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_e53014e6-57c","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/5159642008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["data center power distribution and cooling architectures","_SYSTEMS","reliability engineering","SLA development","failure-mode analysis","statistical modeling and simulation","SCADA/BMS/EPMS","telemetry pipelines","control systems","accelerator deployments","power management interfaces"],"x-skills-preferred":["Python","similar languages","control theory","dynamical systems","cyber-physical systems design","energy storage","microgrid integration","demand response","behind-the-meter generation"],"datePosted":"2026-04-18T15:37:06.319Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data center power distribution and cooling architectures, _SYSTEMS, reliability engineering, SLA development, failure-mode analysis, statistical modeling and simulation, SCADA/BMS/EPMS, telemetry pipelines, control systems, accelerator deployments, power management interfaces, Python, similar languages, control theory, dynamical systems, cyber-physical systems design, energy storage, microgrid integration, demand response, behind-the-meter generation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2fd7fc02-3ed"},"title":"Security Engineer, Agent Security","description":"<p><strong>Security Engineer, Agent Security</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>Security</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$293K – $385K • 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<p><strong>Benefits</strong></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><strong>About the Team</strong></p>\n<p>The team’s mission is to accelerate the secure evolution of agentic AI systems at OpenAI. To achieve this, the team designs, implements, and continuously refines security policies, frameworks, and controls that defend OpenAI’s most critical assets—including the user and customer data embedded within them—against the unique risks introduced by agentic AI.</p>\n<p><strong>About the Role</strong></p>\n<p><strong>As a Security Engineer on the Agent Security Team</strong>, you will be at the forefront of securing OpenAI’s cutting-edge agentic AI systems. Your role will involve designing and implementing robust security frameworks, policies, and controls to safeguard OpenAI’s critical assets and ensure the safe deployment of agentic systems. You will develop comprehensive threat models, partner tightly with our Agent Infrastructure group to fortify the platforms that power OpenAI’s most advanced agentic systems, and lead efforts to enhance safety monitoring pipelines at scale.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Architecting security controls for agentic AI – design, implement, and iterate on identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement) that integrate directly with the Agent Infrastructure stack.</li>\n</ul>\n<ul>\n<li>Building production-grade security tooling – ship code that hardens safety monitoring pipelines across agent executions at scale.</li>\n</ul>\n<ul>\n<li>Collaborating cross-functionally – work daily with Agent Infrastructure, product, research, safety, and security teams to balance security, performance, and usability.</li>\n</ul>\n<ul>\n<li>Influencing strategy &amp; standards – shape the long-term Agent Security roadmap, publish best practices internally and externally, and help define industry standards for securing autonomous AI.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong software-engineering skills in Python or at least one systems language (Go, Rust, C/C++), plus a track record of shipping and operating secure, high-reliability services.</li>\n</ul>\n<ul>\n<li>Deep expertise in modern isolation techniques – experience with container security, kernel-level hardening, and other isolation methods.</li>\n</ul>\n<ul>\n<li>Hands-on network security experience – implementing identity-based controls, policy enforcement, and secure large-scale telemetry pipelines.</li>\n</ul>\n<ul>\n<li>Clear, concise communication that bridges engineering, research, and leadership audiences; comfort influencing roadmaps and driving consensus.</li>\n</ul>\n<ul>\n<li>Bias for action &amp; ownership – you thrive in ambiguity, move quickly without sacrificing rigor, and elevate the security bar company-wide from day one.</li>\n</ul>\n<ul>\n<li>Cloud security depth on at least one major provider (Azure, AWS, GCP), including identity federation, workload IAM, and infrastructure-as-code best practices.</li>\n</ul>\n<ul>\n<li>Familiarity with AI/ML security challenges – experience addressing risks associated with advanced AI systems (nice-to-have but valuable)</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience with container orchestration (e.g., Kubernetes) and service mesh technologies (e.g., Istio, Linkerd).</li>\n</ul>\n<ul>\n<li>Knowledge of cloud security frameworks and compliance standards (e.g., HIPAA, PCI-DSS).</li>\n</ul>\n<ul>\n<li>Familiarity with machine learning and AI frameworks (e.g., TensorFlow, PyTorch).</li>\n</ul>\n<ul>\n<li>Experience with DevOps tools and practices (e.g., CI/CD pipelines, containerization).</li>\n</ul>\n<p><strong>What We Offer</strong></p>\n<ul>\n<li>Competitive salary and benefits package</li>\n</ul>\n<ul>\n<li>Opportunity to work with a talented team of engineers and researchers</li>\n</ul>\n<ul>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<ul>\n<li>Professional growth and development opportunities</li>\n</ul>\n<ul>\n<li>Flexible work arrangements</li>\n</ul>\n<ul>\n<li>Access to cutting-edge technology and tools</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you are a motivated and experienced security engineer looking to join a dynamic team, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!</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_2fd7fc02-3ed","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/e9bea775-7eb6-438a-ab96-27d5f941e69d","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$293K – $385K • Offers Equity","x-skills-required":["Python","Go","Rust","C/C++","container security","kernel-level hardening","isolation methods","identity-based controls","policy enforcement","telemetry pipelines","cloud security","identity federation","workload IAM","infrastructure-as-code"],"x-skills-preferred":["container orchestration","service mesh technologies","cloud security frameworks","compliance standards","machine learning","AI frameworks","DevOps tools","CI/CD pipelines","containerization"],"datePosted":"2026-03-06T18:44:49.390Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, Rust, C/C++, container security, kernel-level hardening, isolation methods, identity-based controls, policy enforcement, telemetry pipelines, cloud security, identity federation, workload IAM, infrastructure-as-code, container orchestration, service mesh technologies, cloud security frameworks, compliance standards, machine learning, AI frameworks, DevOps tools, CI/CD pipelines, containerization","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":293000,"maxValue":385000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_98802553-693"},"title":"Operating Systems Engineer | Consumer Devices","description":"<p><strong>Operating Systems Engineer | Consumer Devices</strong></p>\n<p><strong>About the Team</strong></p>\n<p>The Consumer Devices team at OpenAI builds end-to-end hardware and software systems that bring AI into the physical world. We work at the intersection of custom silicon, embedded systems, operating systems, and cloud services to deliver reliable, production-ready devices at scale.</p>\n<p><strong>About the role</strong></p>\n<p>We are looking for an Operating Systems Engineer to build and harden the OS foundations for OpenAI products. We are especially interested in experienced, passionate, and innovative operating systems developers who thrive on building foundational platform software and solving hard problems in security, privacy, performance, power, and reliability. You will work across the OS kernel, core OS services, security and privacy primitives, performance and power, and the frameworks that connect applications and UI to the system. This role emphasizes deep debugging and systems ownership from development through production.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Work on end-to-end OS capabilities spanning the OS kernel, userspace services, application frameworks, UI toolkits, and application-facing APIs.</li>\n</ul>\n<ul>\n<li>Develop, integrate, and maintain OS components, both kernel-bound and in userspace, including scheduling, memory management, filesystems, drivers, IPC/RPC mechanisms, and security-relevant subsystems.</li>\n</ul>\n<ul>\n<li>Build and maintain core OS services and daemons (init, service management, device discovery, networking primitives, time, logging, update hooks, crash handling, and so on).</li>\n</ul>\n<ul>\n<li>Design and implement security and privacy mechanisms:</li>\n</ul>\n<ul>\n<li>Secure boot and measured boot integration points (where applicable).</li>\n</ul>\n<ul>\n<li>Mandatory access control and sandboxing.</li>\n</ul>\n<ul>\n<li>Secrets management, secure storage, key handling, and least-privilege service design.</li>\n</ul>\n<ul>\n<li>Establish a performance and power discipline:</li>\n</ul>\n<ul>\n<li>Instrumentation, profiling, and regression detection for boot time, latency, throughput, and memory.</li>\n</ul>\n<ul>\n<li>Power measurement workflows, battery and thermal aware tuning, and energy regression prevention.</li>\n</ul>\n<ul>\n<li>Build first-class debugging and observability for the OS:</li>\n</ul>\n<ul>\n<li>Tracing and profiling using tools such as ftrace, perf, eBPF, BPFtrace, LTTng, systemtap, flamegraphs.</li>\n</ul>\n<ul>\n<li>Crash triage and root cause analysis across kernel and userspace, including postmortem tooling and symbolication.</li>\n</ul>\n<ul>\n<li>Provide stable, well-documented platform interfaces for application frameworks and UI frameworks:</li>\n</ul>\n<ul>\n<li>Windowing/compositing primitives (e.g., Wayland), input pipelines, graphics stack integration (e.g., DRM/KMS), and UI performance.</li>\n</ul>\n<ul>\n<li>System APIs for permissions, notifications, background execution, storage, device access, and lifecycle management.</li>\n</ul>\n<ul>\n<li>Contribute to reliability and release readiness:</li>\n</ul>\n<ul>\n<li>Production hardening, incident response participation, and cross-team debugging.</li>\n</ul>\n<ul>\n<li>Test strategy across unit, integration, and hardware-in-the-loop environments; improve coverage and reduce flakiness.</li>\n</ul>\n<p><strong>Required qualifications</strong></p>\n<ul>\n<li>Strong experience with systems programming (such as with Linux, BSD, etc), including meaningful work in the kernel (drivers, core subsystems, or platform enablement) and operating systems.</li>\n</ul>\n<ul>\n<li>Professional proficiency in <strong>C, C++</strong> for low-level systems development.</li>\n</ul>\n<ul>\n<li>Experience building or maintaining <strong>core OS services</strong> and platform software (system services, daemons, init/service management, device management, logging/telemetry pipelines).</li>\n</ul>\n<ul>\n<li>Track record of debugging complex issues across kernel/userspace boundaries using tracing, profiling, and structured root cause analysis.</li>\n</ul>\n<ul>\n<li>Familiarity with security fundamentals in OS design: isolation boundaries, privilege separation, secure IPC, attack surface reduction, and vulnerability mitigation.</li>\n</ul>\n<p><strong>Benefits</strong></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><strong>What we offer</strong></p>\n<ul>\n<li>Competitive salary and equity package.</li>\n</ul>\n<ul>\n<li>Opportunity to work on cutting-edge AI technology.</li>\n</ul>\n<ul>\n<li>Collaborative and dynamic work environment.</li>\n</ul>\n<ul>\n<li>Access to state-of-the-art hardware and software tools.</li>\n</ul>\n<ul>\n<li>Professional development opportunities.</li>\n</ul>\n<ul>\n<li>Flexible work arrangements.</li>\n</ul>\n<ul>\n<li>Comprehensive benefits package.</li>\n</ul>\n<p><strong>How to apply</strong></p>\n<p>If you are a motivated and talented individual who is passionate about building AI-powered products, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!</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_98802553-693","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/efed424b-e025-400f-8ac3-73e962b85751","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K – $385K","x-skills-required":["C","C++","Linux","BSD","kernel","drivers","core subsystems","platform enablement","operating systems","core OS services","platform software","system services","daemons","init/service management","device management","logging/telemetry pipelines"],"x-skills-preferred":["security fundamentals","isolation boundaries","privilege separation","secure IPC","attack surface reduction","vulnerability mitigation"],"datePosted":"2026-03-06T18:23:53.449Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, Linux, BSD, kernel, drivers, core subsystems, platform enablement, operating systems, core OS services, platform software, system services, daemons, init/service management, device management, logging/telemetry pipelines, security fundamentals, isolation boundaries, privilege separation, secure IPC, attack surface reduction, vulnerability mitigation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":385000,"unitText":"YEAR"}}}]}