> Markdown version of [/jobs/ext/4033469-gpu-kernel-developer-ai-trainer](https://www.wearedevelopers.com/jobs/ext/4033469-gpu-kernel-developer-ai-trainer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GPU Kernel Developer - AI Trainer - **Company:** Mercor, Inc. - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Experienced - **Salary:** $145,600 - $187,200 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Profiling, Nvidia CUDA, Computer Programming, Linux Kernel, Machine Learning, Graphics Processing Unit (GPU), cuDNN, MLIR (Multi-Level Intermediate Representation) - **Published:** October 30, 2026 - **Apply:** https://www.careerbuilder.com/job-details/gpu-kernel-developer-ai-trainer-chicago-il--a60d0a4e-4596-4364-b802-bf7c2a4a2329 ## About the Role Kernel Programming, GPU (Graphics Processing Unit), Artificial Intelligence (AI), Training/Teaching, Artificial Intelligence (AI), Benchmarking, Research Laboratory, Kernel Programming, GPU (Graphics Processing Unit), Performance Modeling, 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. ## 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.