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GPU Kernel Expert

Pay
$70–90/hr
Type
Hourly
Location
Remote
Who can apply
USA only
Posted
Aug 25, 2026

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About this role

Evaluate the quality, correctness, and completeness of GPU/accelerator kernel development tasks used to train and evaluate a frontier AI lab's models. You'll assess numerical correctness, performance-benchmarking fairness, task scoping, and compilation/runtime validity across diverse kernel task types — and provide clear, rubric-based written feedback. Basic Qualifications 3+ years of hands-on experience developing, optimizing, or verifying GPU/accelerator kernels in at least two of: CUDA, Triton, NKI, or Pallas (JAX) Strong understanding of numerical-correctness criteria for kernels (absolute/relative/ULP tolerances, reference-implementation selection) Demonstrated experience with performance profiling and benchmarking (nsight, ncu, roofline analysis, or framework-native profilers) Familiarity with common compilation and runtime failure modes (driver mismatches, OOM,…

Read the full listing on Mercor

Categories

Coding & software

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