GPU Systems Engineer – HPC / Parallel Computing
Vast.ai•San Francisco, CA
•Onsite
About The Position
Vast.ai is seeking a systems engineer with HPC or parallel programming experience to help scale AI inference. The role involves leveraging knowledge of high-performance systems to optimize GPU performance at the bleeding edge of AI. This is a full-time, on-site position at either their San Francisco or Los Angeles offices. The tech stack includes CUDA/C++, GPGPU, Python, and Linux.
Requirements
- Advanced 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 tooling
Nice To Haves
- Familiarity with distributed training/inference frameworks
Responsibilities
- Design and optimize GPU kernels and tensor libraries
- Translate HPC techniques into scalable AI inference solutions
- Evaluate emerging architectures and resource management approaches
- Collaborate with technical leadership to improve GPU infrastructure efficiency
Benefits
- Comprehensive health, dental, vision, and life insurance
- 401(k) with company match
- Meaningful early-stage equity
- Onsite meals, snacks, and close collaboration with founders/tech leaders
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
