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)
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Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.