GPU Programming Expert - Fully Remote | Upto $120/hr

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: CUDA Engineering Expert Type: Contract Compensation: $80–$120/hour Location: Remote Role Responsibilities - Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization. - Use profiler metrics like L2 cache hit rate , L2 throughput , and occupancy to guide kernel improvements. - Review GPU kernel implementations to identify bottlenecks without needing extensive algorithmic background. - Write, modify, and reason about C++17 , Python , and GPU programming code. - Apply CUDA , HIP , and shader programming expertise to improve performance outcomes. - Document optimization decisions clearly, noting when specific profiler metrics are useful. Qualifications Must-Have - Available to work at least 20 hrs/wk . - Fluent in core C++ features through C++17 . - Working knowledge of Python and Git . - Fluent in at least one GPU programming model like CUDA , HIP , Slang , HLSL , or GLSL . - At least 1 year of professional or graduate-level research experience with GPUs . - Strong understanding of GPU profiler performance metrics for kernel optimization. - Ability to optimize GPU kernels without deep prior context on every algorithm. Preferred - Experience with CUDA , HIP , CUDA C++ Core Libraries , inline PTX assembly, or tensor core-level optimization. - Experience optimizing kernels for NVIDIA Blackwell hardware . - Familiarity with NSight Compute . - Prior experience with GPU hardware organizations like NVIDIA , AMD , or Qualcomm . - Open-source contributions related to GPU kernel optimization . Application Process (Takes 20–30 mins to complete) - Submit your resume or relevant technical background to get started. - Qualified applicants may be asked to complete a brief technical assessment or submit additional information. Resources & Support - For details about the interview process and platform information, please check: - For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas