GPU Programming Expert - Fully Remote | Upto $120/hr
About This Gig
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++ f
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on Himalayas