GPU Kernel Developer - Fully Remote | Upto $90/hr

Role Summary

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: GPU Kernel Expert
• Type: Contract
• Compensation: $70–$90/hour
• Location: Remote
• Role Responsibilities

Evaluate the quality and correctness of GPU/accelerator kernel development tasks for training and evaluating AI models.

Assess numerical correctness, performance-benchmarking fairness, and task scoping across diverse kernel task types.

Review compilation and runtime validity, providing clear, rubric-based written feedback.

Collaborate with AI research teams to improve model training and evaluation processes.

Work independently and asynchronously to meet deadlines and enhance AI model performance .

Requirements

• 3+ years of experience with CUDA , Triton , NKI , or Pallas (JAX) .
• Strong understanding of numerical-correctness criteria for kernels.
• Experience with performance profiling and benchmarking (e.g., nsight , ncu ).
• Familiarity with common compilation and runtime failure modes.
• Experience with at least three kernel task types.

Preferred

• Experience with both NVIDIA GPU and custom-accelerator ecosystems.
• Background in compiler engineering, MLIR , or intermediate-representation lowering.
• Understanding of memory-hierarchy optimization.
• Contributions to kernel libraries like cuBLAS , cuDNN , or Triton .
• Application Process (Takes 20–30 mins to complete)
• Upload resume
• AI interview based on your resume
• Submit form
• Resources & Support
• For details about the interview process and platform information, please check:

Additional Information

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