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# GPU Kernel Developer - Fully Remote

- **Company:** Mercor, Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $145,600.0 - $187,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Profiling, Nvidia CUDA, Python (Programming Language), Linux Kernel, Machine Learning, Generative AI
- **Published:** August 30, 2026
- **Apply:** https://www.careerjet.com/jobad/usefd602ee19d02d87ba13f03985f4bfd9

## About the Role

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., Role Name - Python Developer ROLE_DESCRIPTION - We are seeking a highly skilled Python Developer with hands-on experience in Artificial Intelligence, Machine Learning, and Gene…
 + 3 days ago, ROLE_DESCRIPTION - We are seeking a highly skilled Python Developer with hands-on experience in Artificial Intelligence, Machine Learning, and Generative AI technologies. The ide…
 + 3 days ago

## Description

* 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., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


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