GPU Systems Engineer – HPC / Parallel Computing

We’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. Tech stack: CUDA/C++, GPGPU, Python, Linux.

What You'll Do

• 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

What We're Looking For

• 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 Have

• Familiarity with distributed training/inference frameworks

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

• Ambitious, fast-paced startup culture where initiative is rewarded