{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/title/software-engineer-kernel-performance-and-ai-tooling"},"x-facet":{"type":"title","slug":"software-engineer-kernel-performance-and-ai-tooling","display":"Software Engineer, Kernel Performance & AI Tooling","count":1},"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_a43e9289-b72"},"title":"Software Engineer, Kernel Performance & AI Tooling","description":"<p><strong>Compensation</strong></p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Total compensation includes generous equity, performance-related bonus(es) for eligible employees, and various benefits.</p>\n<p><strong>About the Team</strong></p>\n<p>OpenAI&#39;s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for a systems-minded engineer to help advance our kernel development, performance engineering, and hardware-software co-design capabilities, with a particular focus on AI-assisted workflows and tooling. This person will work at the intersection of kernel optimization, developer tooling, observability, and research infrastructure, helping us improve both how production kernels are built and optimized, and how future hardware-software systems are designed and evaluated.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build developer tooling and workflows that make kernel development and performance optimization faster, more scalable, and easier to debug, integrate, and deploy.</li>\n<li>Develop observability, diagnostics, and validation infrastructure that makes AI-assisted optimization systems more interpretable, reliable, and effective.</li>\n<li>Optimize production kernels end to end by formulating optimization problems, running search loops, analyzing bottlenecks, debugging generated implementations, and landing improvements into production.</li>\n<li>Design abstractions, interfaces, and automation systems that accelerate kernel optimization, correctness validation, and hardware-software co-design.</li>\n<li>Improve AI-assisted optimization systems for specialized tasks through better datasets, evaluations, benchmarking, and research infrastructure.</li>\n<li>Partner across research and engineering teams to turn new ideas into practical systems spanning production needs and long-term infrastructure strategy.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong systems or tooling engineering experience, with a background in low-level software, performance optimization, or infrastructure.</li>\n<li>Experience with developer tooling, debugging infrastructure, profiling, observability, or workflow design for technical users.</li>\n<li>Depth in kernel development, accelerator architecture, compiler systems, or related performance-critical domains.</li>\n<li>Familiarity with AI-assisted systems, agentic workflows, post-training, or reinforcement learning for engineering or research applications.</li>\n<li>Strong experimental judgment, comfort with ambiguity, and the ability to move fluidly between research exploration and production execution.</li>\n<li>Interest in compilers, DSLs, program synthesis, or AI for systems.</li>\n</ul>\n<p><strong>Preferred Profile</strong></p>\n<p>The ideal candidate is a strong systems and tooling engineer with real depth in kernels and accelerators. They are comfortable working across software and hardware boundaries, can reason deeply about performance, abstractions, and system design, and have hands-on experience optimizing code for GPUs, high-performance CPUs, or custom accelerators. They view AI not as the end product, but as a force multiplier for engineering productivity and system optimization.</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<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n<li>401(k) retirement plan with employer match</li>\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<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\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<li>Mental health and wellness support</li>\n<li>Employer-paid basic life and disability coverage</li>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n<li>Relocation support for eligible employees</li>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</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_a43e9289-b72","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/e9627fa6-ac76-4899-9a93-9251419e61a0","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$266K – $445K","x-skills-required":["kernel development","performance engineering","hardware-software co-design","AI-assisted workflows","developer tooling","observability","research infrastructure"],"x-skills-preferred":["compilers","DSLs","program synthesis","AI for systems"],"datePosted":"2026-04-24T12:20:46.437Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"kernel development, performance engineering, hardware-software co-design, AI-assisted workflows, developer tooling, observability, research infrastructure, compilers, DSLs, program synthesis, AI for systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":266000,"maxValue":445000,"unitText":"YEAR"}}}]}