{"schemaVersion":"jobsearcher.job.v1","id":"3fbe65c63db4605cecbcdc87","url":"https://jobsearcher.com/jobs/3fbe65c63db4605cecbcdc87","canonicalUrl":"https://jobsearcher.com/jobs/3fbe65c63db4605cecbcdc87","title":"Workload Porting & Performance Engineer","description":"Workload Porting & Performance Engineer | OpenAI\nCareers\nWorkload Porting & Performance Engineer\nHardware - San Francisco and Seattle\nOpenAI’s Infrastructure organization builds and evaluates the systems that power advanced AI workloads. We work closely with hardware, modeling, and architecture teams to ensure that new platforms deliver real-world performance aligned with workload needs.\nOur team focuses on understanding workload behavior across evolving hardware platforms—bridging the gap between theoretical capability and observed system performance.\nWe are seeking a Workload Porting & Performance Engineer to evaluate new hardware platforms by porting benchmarks and real-world workloads, analyzing performance, and identifying system bottlenecks.\nIn this role, you will bring up workloads on new systems, characterize performance behavior, and adapt workloads to better utilize hardware capabilities. You will play a critical role in validating new platforms and ensuring that performance aligns with expectations across compute, memory, and networking subsystems.\nThis role requires strong hands‑on experience with performance analysis, workload optimization, and system‑level debugging across hardware and software boundaries.\nThis 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.\nKey Responsibilities\n\nPort and enable benchmarks and real-world workloads on new hardware platforms.\nEvaluate system performance across compute, memory, storage, and networking subsystems.\nIdentify and analyze performance bottlenecks and inefficiencies.\nAdapt and optimize workloads to better utilize hardware capabilities.\nDevelop and run performance experiments and profiling workflows.\nCompare expected vs. observed performance and provide feedback to:\n \nhardware architecture teams\nperformance modeling teams\nsystem and software engineers\n\nDebug issues across the stack, including software, runtime, and hardware interactions.\nProvide actionable insights to guide platform readiness and deployment decisions.\n\nQualifications\n\nExperience with performance analysis, benchmarking, or workload optimization.\nStrong understanding of system architecture, including CPU/GPU, memory, and I/O subsystems.\nExperience porting or adapting workloads across different hardware platforms.\nFamiliarity with profiling tools and performance debugging techniques.\nAbility to identify root causes of performance issues across hardware/software boundaries.\nExperience working in large-scale or distributed system environments.\n\nPreferred Skills\n\nExperience with AI/ML workloads, including training or inference systems.\nFamiliarity with GPU or accelerator-based systems.\nExperience working with low-level performance tools (profilers, tracing, microbenchmarks).\nBackground in systems software, compilers, or runtime optimization.\nExperience collaborating with hardware and architecture teams on performance validation.\n\nCompensation\n$342K – $555K\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. \n#J-18808-Ljbffr","company":"OpenAI","rawCompany":"openai","city":"Los Angeles","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-03T03:57:57.271Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Workload Porting & Performance Engineer","description":"Workload Porting & Performance Engineer | OpenAI\nCareers\nWorkload Porting & Performance Engineer\nHardware - San Francisco and Seattle\nOpenAI’s Infrastructure organization builds and evaluates the systems that power advanced AI workloads. We work closely with hardware, modeling, and architecture teams to ensure that new platforms deliver real-world performance aligned with workload needs.\nOur team focuses on understanding workload behavior across evolving hardware platforms—bridging the gap between theoretical capability and observed system performance.\nWe are seeking a Workload Porting & Performance Engineer to evaluate new hardware platforms by porting benchmarks and real-world workloads, analyzing performance, and identifying system bottlenecks.\nIn this role, you will bring up workloads on new systems, characterize performance behavior, and adapt workloads to better utilize hardware capabilities. You will play a critical role in validating new platforms and ensuring that performance aligns with expectations across compute, memory, and networking subsystems.\nThis role requires strong hands‑on experience with performance analysis, workload optimization, and system‑level debugging across hardware and software boundaries.\nThis 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.\nKey Responsibilities\n\nPort and enable benchmarks and real-world workloads on new hardware platforms.\nEvaluate system performance across compute, memory, storage, and networking subsystems.\nIdentify and analyze performance bottlenecks and inefficiencies.\nAdapt and optimize workloads to better utilize hardware capabilities.\nDevelop and run performance experiments and profiling workflows.\nCompare expected vs. observed performance and provide feedback to:\n \nhardware architecture teams\nperformance modeling teams\nsystem and software engineers\n\nDebug issues across the stack, including software, runtime, and hardware interactions.\nProvide actionable insights to guide platform readiness and deployment decisions.\n\nQualifications\n\nExperience with performance analysis, benchmarking, or workload optimization.\nStrong understanding of system architecture, including CPU/GPU, memory, and I/O subsystems.\nExperience porting or adapting workloads across different hardware platforms.\nFamiliarity with profiling tools and performance debugging techniques.\nAbility to identify root causes of performance issues across hardware/software boundaries.\nExperience working in large-scale or distributed system environments.\n\nPreferred Skills\n\nExperience with AI/ML workloads, including training or inference systems.\nFamiliarity with GPU or accelerator-based systems.\nExperience working with low-level performance tools (profilers, tracing, microbenchmarks).\nBackground in systems software, compilers, or runtime optimization.\nExperience collaborating with hardware and architecture teams on performance validation.\n\nCompensation\n$342K – $555K\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. \n#J-18808-Ljbffr","datePosted":"2026-10-03T03:57:57.271Z","dateModified":"2026-10-03T03:57:57.271Z","hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3fbe65c63db4605cecbcdc87"},"url":"https://jobsearcher.com/jobs/3fbe65c63db4605cecbcdc87"}}