GPU Kernel Developer - AI Trainer

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: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor