Senior Research Engineer - AI Coding Tools

Build and improve novel coding agents that help NVIDIA developers write, optimize, and maintain CUDA code — and that work alongside other AI agents in the developer's workflow

Design and ship evaluations, including extensions of our public ComputeEval benchmark, that measure what really matters in AI-powered CUDA development

Fine-tune and specialize code LLMs, and partner with the Nemotron team on the datasets and evaluations that feed NVIDIA's foundation models

Develop Agent Skills, MCP servers, and other tool-use interfaces that make NVIDIA's developer tools (Nsight Compute, Nsight Systems, and more) first-class for AI agents

Generate, curate, and validate synthetic training and evaluation data for CUDA programming

Deliver "net new knowledge" to frontier LLMs through RAG and skill-based systems that keep models current with NVIDIA's fast-moving software stack

Collaborate with partner product teams to turn research prototypes into shipping features used inside NVIDIA and by external customers

B.S. in Computer Science or related technical field or equivalent experience (M.S. or Ph.D. a plus)

12+ years of industry experience in applied AI/ML, with meaningful recent work in the AI-for-code space — coding agents, code LLMs, AI developer tools, or adjacent systems

Strong proficiency in Python and sound software engineering practices

Hands-on experience fine-tuning or evaluating LLMs, with appropriate humility about the complexity of training and data work

Fluency with the systems side of LLM-powered agents, including practical concerns like context management, prompt caching, tool-use design, MCP, and Agent Skills

Experience designing or contributing to rigorous evaluations for code generation or agentic systems

Track record of shipping — taking work past the prototype stage and into the hands of real users

Comfortable in a small, collaborative, in-person team with fast direction changes and little process overhead

Public contributions in the AI-for-code space — open-source agents or tools, widely-used benchmarks, influential papers, or blog posts with demonstrated real-world impact

Experience building coding agents or code LLMs that real users rely on every day

Familiarity with CUDA or other GPU programming, and/or with NVIDIA profiling tools (Nsight Compute, Nsight Systems) and libraries (cuDNN, cuBLAS, Thrust, CUB)

Experience with synthetic data generation and quality validation for code

Track record of zero-to-one product work, or work inside a recently-rebooted org with a strong mandate and customer pull

With competitive salaries and benefits, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're an applied AI researcher or engineer who wants to ship AI coding tools from the epicenter of the AI industry, and you thrive in a small, in-person team with a clear mandate, this is the role for you!

You will also be eligible for equity and benefits .

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.