About this role
Job title: CUDA Engineering Expert
About the Role Mercor is seeking GPU kernel optimization experts to contribute to a project with a leading AI lab. This contract-based opportunity targets freelancers with strong C++ skills, practical GPU programming experience, and the ability to improve kernel performance using profiler-guided analysis. You’ll help evaluate, optimize, and reason about GPU kernels across modern hardware environments.
What You'll Do
- Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization
- Use profiler metrics such as L2 cache hit rate, L2 throughput, occupancy, and related signals to guide kernel improvements
- Review GPU kernel implementations and identify bottlenecks without requiring extensive background in the underlying algorithms
- Write, modify, and reason about C++17, Python, and GPU programming code
- Apply CUDA, HIP, shader programming, or related kernel programming expertise to improve performance outcomes
- Document optimization decisions clearly, including when specific profiler metrics are or are not useful
What We're Looking For
- 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, such as CUDA, HIP, Slang, HLSL, GLSL, or related kernel programming
- At least 1 year of professional or graduate-level research experience with GPUs
- Strong understanding of GPU profiler performance metrics and how to use them to optimize kernels
- Ability to optimize GPU kernels without needing deep prior context on every algorithm
- Experience with CUDA, HIP, CUDA C++ Core Libraries, inline PTX assembly, or tensor core-level optimization is a plus
- Experience optimizing kernels for NVIDIA Blackwell hardware is a plus
- Familiarity with NSight Compute is a plus
- Prior experience with GPU hardware organizations such as NVIDIA, AMD, or Qualcomm is a plus
Nice to Have
- Open-source contributions related to GPU kernel optimization
Compensation & Benefits
- Salary: $80-$100 per hour
- This is a fully remote contract with weekly payments via Stripe or Wise
- Payments are based on services rendered; H1-B or STEM OPT sponsorship is not available