Senior AI Coding Research Engineer (Equity)

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 224,000 - 431,000

Full time

14 days+
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Job summary

NVIDIA Corporation is seeking a Senior Research Engineer for the AI Developer Tools group to advance coding agents, code LLMs, and evaluation benchmarks that power CUDA developers. You will drive research-to-product transitions, partner with product teams, and ship frontier AI-for-code capabilities in a fast-paced, in-person setting.

You will build novel agents, fine‑tune LLMs, and contribute datasets and benchmarks, collaborating across teams to turn research into customer-ready features and

Qualifications

  • BS in CS or related field; MS/PhD a plus.
  • 12+ years in applied AI/ML focusing on AI-for-code space.
  • Strong Python and sound software engineering practices.

Responsibilities

  • 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 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

Skills

Python
LLM evaluation
AI for code

Education

Bachelor's degree in Computer Science or related field

Job description

NVIDIA Corporation is seeking a Senior Research Engineer for the AI Developer Tools group to advance coding agents, code LLMs, and evaluation benchmarks that power CUDA developers. You will drive research-to-product transitions, partner with product teams, and ship frontier AI-for-code capabilities in a fast-paced, in-person setting.

You will build novel agents, fine‑tune LLMs, and contribute datasets and benchmarks, collaborating across teams to turn research into customer-ready features and

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