About this role
GPU Systems Engineer – HPC / Parallel Computing at Vast.ai. Location: San Francisco or Los Angeles. Role: designing kernels, optimizing performance, evaluating architectures Requirements: Experience with HPC/parallel programming, GPU systems optimization, CUDA/C++, Python, and Linux; familiarity with parallel frameworks (HIP, SYCL, OpenCL, OpenACC) and HPC performance tooling. Category: Engineering Seniority: Senior Level Tools: CUDA, C++, GPGPU, Python, Linux, C++17, C++20, HIP, SYCL, OpenCL, OpenACC Commitment: Full Time Workplace: Onsite Languages: English