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: • For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas