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

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: 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.

Qualifications Must-Have

• 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: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [email protected]

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