{"id":68332,"url":"https://alion.io/job/vast-systemsgpu-research-engineer","title":"Systems/GPU Research Engineer","company":{"id":26005,"name":"Vast.ai","domain":"vast.ai","url":"https://alion.io/company/vast","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":64,"open_postings":15,"ghost_share":0.6,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","Los Angeles, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":330000,"currency":"USD","period":"year","gross":null,"usd_annual":330000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"C++","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"Linux","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-07-03T02:26:51Z","employer_posted_date":"2026-07-03","last_verified_at":"2026-10-17T06:21:31Z","board_verified":true,"closed_at":null,"days_open":106,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":106},"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.\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.\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.\nLOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.\nAbout the Role\nAs a systems/GPU engineer, you will play a crucial role in developing new kernels and algorithms that can improve inference for AI models. You will help develop new high-performance tensor libraries and auto-optimization tools. Collaborating directly with our technical founder and diverse team, you will enhance the performance and efficiency of our AI systems. Your ability to research and stay on top of cutting-edge papers will be vital in staying up-to-date with the latest advancements in AI model inference and GPU programming techniques.\nFull-Time\n\nOn-site at either our SF or LA offices\n\nTech Stack\nC++/CUDA, GPGPU, Python, Linux\nIdeal Experience\nExpertise in systems engineering across the tech stack\n\nDeep understanding of GPU architectures\n\nStrong holistic background in neural network performance and tooling\n\nPublished research at top AI conferences\n\nKey Responsibilities\nDevelop or extend parallel generic GPU libraries and kernels\n\nHelp design and deploy market-based resource management systems\n\nQuickly investigate and summarize options for new system architectures\n\nPrototype and evaluate novel state-of-the-art methods/models\n\nInvestigate and learn new frameworks and tools\n\nInterview Process\nAfter submitting your application, our technical team reviews your credentials. 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