CUDA Kernel Optimization Specialist

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 DAngelo 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 C17 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 C17.
• 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 2030 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

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PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.