{"schemaVersion":"jobsearcher.job.v1","id":"93caa8cf6fa79563d1cb4768","url":"https://jobsearcher.com/jobs/93caa8cf6fa79563d1cb4768","canonicalUrl":"https://jobsearcher.com/jobs/93caa8cf6fa79563d1cb4768","title":"Senior Inference Engineer: GPU Kernel Optimizations + Equity","description":"NVIDIA is seeking a Senior Inference Engineer to push GPU kernel optimization for LLM inference across silicon-level measurements. You will help build benchmarking infrastructure, model-level performance tooling, and optimization policies for production deployments.\r\nThe role collaborates with compiler, hardware, kernel, and framework teams to surface bottlenecks and deliver measurable gains, in a full-time, on-site capacity in Santa Clara.#J-18808-Ljbffr","company":"NVIDIA","rawCompany":"nvidia","city":"Santa Clara","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-04T02:41:02.726Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"}],"industries":[{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"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":"Senior Inference Engineer: GPU Kernel Optimizations + Equity","description":"NVIDIA is seeking a Senior Inference Engineer to push GPU kernel optimization for LLM inference across silicon-level measurements. You will help build benchmarking infrastructure, model-level performance tooling, and optimization policies for production deployments.\r\nThe role collaborates with compiler, hardware, kernel, and framework teams to surface bottlenecks and deliver measurable gains, in a full-time, on-site capacity in Santa Clara.#J-18808-Ljbffr","datePosted":"2026-10-04T02:41:02.726Z","dateModified":"2026-10-04T02:41:02.726Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"93caa8cf6fa79563d1cb4768"},"url":"https://jobsearcher.com/jobs/93caa8cf6fa79563d1cb4768"}}