{"schemaVersion":"jobsearcher.job.v1","id":"5ea4c7258133d7d6ff7992d9","url":"https://jobsearcher.com/jobs/5ea4c7258133d7d6ff7992d9","canonicalUrl":"https://jobsearcher.com/jobs/5ea4c7258133d7d6ff7992d9","title":"GPU Systems Engineer - HPC / Parallel Computing","description":"About Us\nVast.ai’s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity.\n\nWe are a growing and highly motivated team dedicated to an ambitious technical plan. Our structure is flat, our ambitions are out‑sized, and leadership is earned by shipping excellence.\n\nWe seek engineers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of architecture, coding, and communication skills.\n\nLOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.\n\nAbout the Role\nWe’re looking for a systems engineer with HPC or parallel programming experience to help scale AI inference. You’ll leverage your knowledge of high-performance systems to optimize GPU performance at the bleeding edge of AI.\n\nFull-Time\n\nOn-site at either our SF or LA offices\n\nTech Stack\nCUDA/C++, GPGPU, Python, Linux\n\nKey Responsibilities\n\nDesign and optimize GPU kernels and tensor libraries\n\nTranslate HPC techniques into scalable AI inference solutions\n\nEvaluate emerging architectures and resource management approaches\n\nCollaborate with technical leadership to improve GPU infrastructure efficiency\n\nIdeal Experience\n\nAdvanced C++ (C++17/20 preferred)\n\nExpertise with at least one parallel framework (CUDA, HIP, SYCL, OpenCL, OpenACC, or similar)\n\nStrong background in systems optimization and HPC performance tooling\n\nFamiliarity with distributed training/inference frameworks (bonus)\n\nInterview Process\nAfter submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages:\n\nInitial screening (virtual, 15 minutes)\n\nQuick dive into Vast, systems and architectures (virtual, 30 minutes)\n\nLLM-assisted coding assessment (virtual, 1 hour)\n\nMeet and greet with coding assessment (on-site, 2 hours)\n\nOur goal is to complete the interview process in two weeks.\n\nBenefits\n\nComprehensive health, dental, vision, and life insurance\n\n401(k) with company match\n\nMeaningful early-stage equity\n\nOnsite meals, snacks, and close collaboration with founders/tech leaders\n\nAmbitious, fast-paced startup culture where initiative is rewarded\n\n#J-18808-Ljbffr","company":"Vast","rawCompany":"vast","city":"Los Angeles","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-07-10T03:21:55.784Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GPU Systems Engineer - HPC / Parallel Computing","description":"About Us\nVast.ai’s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity.\n\nWe are a growing and highly motivated team dedicated to an ambitious technical plan. Our structure is flat, our ambitions are out‑sized, and leadership is earned by shipping excellence.\n\nWe seek engineers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of architecture, coding, and communication skills.\n\nLOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.\n\nAbout the Role\nWe’re looking for a systems engineer with HPC or parallel programming experience to help scale AI inference. You’ll leverage your knowledge of high-performance systems to optimize GPU performance at the bleeding edge of AI.\n\nFull-Time\n\nOn-site at either our SF or LA offices\n\nTech Stack\nCUDA/C++, GPGPU, Python, Linux\n\nKey Responsibilities\n\nDesign and optimize GPU kernels and tensor libraries\n\nTranslate HPC techniques into scalable AI inference solutions\n\nEvaluate emerging architectures and resource management approaches\n\nCollaborate with technical leadership to improve GPU infrastructure efficiency\n\nIdeal Experience\n\nAdvanced C++ (C++17/20 preferred)\n\nExpertise with at least one parallel framework (CUDA, HIP, SYCL, OpenCL, OpenACC, or similar)\n\nStrong background in systems optimization and HPC performance tooling\n\nFamiliarity with distributed training/inference frameworks (bonus)\n\nInterview Process\nAfter submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages:\n\nInitial screening (virtual, 15 minutes)\n\nQuick dive into Vast, systems and architectures (virtual, 30 minutes)\n\nLLM-assisted coding assessment (virtual, 1 hour)\n\nMeet and greet with coding assessment (on-site, 2 hours)\n\nOur goal is to complete the interview process in two weeks.\n\nBenefits\n\nComprehensive health, dental, vision, and life insurance\n\n401(k) with company match\n\nMeaningful early-stage equity\n\nOnsite meals, snacks, and close collaboration with founders/tech leaders\n\nAmbitious, fast-paced startup culture where initiative is rewarded\n\n#J-18808-Ljbffr","datePosted":"2026-07-10T03:21:55.784Z","dateModified":"2026-07-10T03:21:55.784Z","hiringOrganization":{"@type":"Organization","name":"Vast","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5ea4c7258133d7d6ff7992d9"},"url":"https://jobsearcher.com/jobs/5ea4c7258133d7d6ff7992d9"}}