{"schemaVersion":"jobsearcher.job.v1","id":"940e985203bb4a4b3ccb4a32","url":"https://jobsearcher.com/jobs/940e985203bb4a4b3ccb4a32","canonicalUrl":"https://jobsearcher.com/jobs/940e985203bb4a4b3ccb4a32","title":"CUDA System Software Engineer - Performance & GPU Kernel","description":"NVIDIA AI in Santa Clara seeks a systems software engineer to design and implement performance-centric features for the CUDA driver and runtime using C/C++. You will analyze critical paths across software and hardware to boost latency, throughput, and scalability.\r\nThe role requires a CS degree and at least two years in systems software, with strong C/C++, OS, and architecture skills. Collaboration across teams to optimize GPU drivers and kernel code is essential.#J-18808-Ljbffr","company":"NVIDIA AI","rawCompany":"nvidia ai","city":"Santa Clara","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-11-04T03:16:38.448Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"CUDA System Software Engineer - Performance & GPU Kernel","description":"NVIDIA AI in Santa Clara seeks a systems software engineer to design and implement performance-centric features for the CUDA driver and runtime using C/C++. You will analyze critical paths across software and hardware to boost latency, throughput, and scalability.\r\nThe role requires a CS degree and at least two years in systems software, with strong C/C++, OS, and architecture skills. Collaboration across teams to optimize GPU drivers and kernel code is essential.#J-18808-Ljbffr","datePosted":"2026-11-04T03:16:38.448Z","dateModified":"2026-11-04T03:16:38.448Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA AI","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"940e985203bb4a4b3ccb4a32"},"url":"https://jobsearcher.com/jobs/940e985203bb4a4b3ccb4a32"}}