Senior Research Engineer - AI Coding Tools

What you'll do

• Build coding agents, fine-tune code LLMs, and create training and evaluation data for CUDA programming.
• Design and ship evaluations, including extensions to ComputeEval, and develop Agent Skills, MCP servers, and other tool-use interfaces for NVIDIA developer tools.
• Use RAG and skill-based systems to keep models current, and turn research prototypes into product features.

What they ask for

• B.S. in Computer Science or a related technical field, or equivalent experience.
• 12+ years of industry experience in applied AI/ML, including meaningful recent AI-for-code work.
• Strong proficiency in Python and sound software engineering practices.
• Hands-on LLM fine-tuning or evaluation experience; agent-systems fluency; experience with rigorous code-generation or agent evaluations; and a record of shipping work to users.

Nice to have

• M.S. or Ph.D.
• Public AI-for-code contributions; coding agents or code LLMs used by real users; CUDA/GPU programming or NVIDIA tool familiarity; synthetic data experience; or zero-to-one product work.

Pay

224,000 USD - 356,500 USD base salary (Level 5); 272,000 USD - 431,250 USD base salary (Level 6)

Tools

Python, CUDA, MCP, Agent Skills, RAG, ComputeEval, Nsight Compute, Nsight Systems

AI focus

Applied AI research and engineering for coding agents, code LLMs, evaluations, synthetic data, and AI-powered CUDA development.