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GPU Kernel Developer - AI Trainer

$70 - $90 per hour

Mercor

Job Description

Job Description

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

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

#hiringmercor

Vacancy posted 1 day ago
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