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 .
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CUDA Kernel Optimization Specialist Arbeitgeber: Mercor
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