GPU Programming Expert - Fully Remote | Upto $500/task Task based

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: $500/hour
Location: Remote
Role Responsibilities

- Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization.

- Use profiler metrics like L2 cache hit rate and occupancy to guide kernel improvements.

- Review GPU kernel implementations and identify bottlenecks without deep algorithmic background.

- Write and modify C++17 , Python , and GPU programming code.

- Apply expertise in CUDA , HIP , and shader programming to improve performance.

- Document optimization decisions clearly, focusing on profiler metrics' utility.

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 one GPU programming model like CUDA or HIP .

- 1+ year of professional or research experience with GPUs .

- Strong understanding of GPU profiler performance metrics .

Preferred

- Experience with CUDA , HIP , and CUDA C++ Core Libraries .

- Experience optimizing kernels for NVIDIA Blackwell hardware .

- Familiarity with NSight Compute .

- Prior experience with 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.

- Qualified applicants may 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