GPU Kernel Developer - Fully Remote | Upto $90/hr
$90 per hourMercor
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
- For details about the interview process and platform information, please check:
- For any help or support, reach out to: View email address on us.fitly.work
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Vacancy posted 3 days ago
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