GPU Systems Engineer – HPC / Parallel Computing
About UsVast.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.We 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.We 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.LOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.About The RoleWe’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.Full-TimeOn-site at either our SF or LA officesTech StackCUDA/C++, GPGPU, Python, LinuxKey ResponsibilitiesDesign and optimize GPU kernels and tensor librariesTranslate HPC techniques into scalable AI inference solutionsEvaluate emerging architectures and resource management approachesCollaborate with technical leadership to improve GPU infrastructure efficiencyIdeal ExperienceAdvanced C++ (C++17/20 preferred)Expertise with at least one parallel framework (CUDA, HIP, SYCL, OpenCL, OpenACC, or similar)Strong background in systems optimization and HPC performance toolingFamiliarity with distributed training/inference frameworks (bonus)Interview ProcessAfter submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages:Initial screening (virtual, 15 minutes)Quick dive into Vast, systems and architectures (virtual, 30 minutes)LLM-assisted coding assessment (virtual, 1 hour)Meet and greet with coding assessment (on-site, 2 hours)Our goal is to complete the interview process in two weeks.BenefitsComprehensive health, dental, vision, and life insurance401(k) with company matchMeaningful early-stage equityOnsite meals, snacks, and close collaboration with founders/tech leadersAmbitious, fast-paced startup culture where initiative is rewardedCompensation Range: $160K - $320K