Harness and Platform Engineer, AI Safety and Security Engineering

NVIDIA•Santa Clara, TN

1d•$152,000 - $241,500

About The Position

NVIDIA is widely recognized as one of the most desirable employers, with some of the most talented people in the world working for us! We believe open-weight models are foundational to American AI leadership and cybersecurity, and that trust in AI grows through participation, transparency, and broad scientific scrutiny. Our AI Safety & Security Engineering team builds and evaluates AI-powered tooling that helps find, validate, and patch software vulnerabilities. The agent harness and the platform it runs on are the substrate everything else builds on. We are looking for a Harness/Platform Engineer to build that foundation. You will play a critical role in making the program's work possible, repeatable, and trustworthy. When a researcher runs an experiment, your platform decides whether the result can be reproduced tomorrow. Our current direction builds on NVIDIA NeMo agent tooling, and you will help shape where it goes. You will keep the whole loop visible, from environment to run to result. You will work closely with security research and evaluation engineers, learning their workflows and smoothing their paths. Good platform work here looks like fewer surprises: environments that behave, tooling that stays versioned, and runs that repeat. When something breaks, you will debug it with the people who felt it first. You will treat researcher time as precious and remove friction wherever you find it.

Requirements

Bachelor's degree (or equivalent experience) with 5+ years of software engineering experience.
Technical core: Strong Python engineering plus comfort with containerized environments and CI/CD.
Infrastructure familiarity: Experience with agent frameworks, LLM orchestration, ML infrastructure, or evaluation harnesses.
Reproducibility instincts: Care for versioned tooling and repeatable results.

Nice To Haves

NeMo experience: Hands-on work with NVIDIA NeMo or similar agent frameworks.
Security context: Exposure to security tooling or vulnerability research.
Developer experience: Building internal tools other engineers enjoy using.

Responsibilities

Harness development: Design, implement, and maintain the agent harness.
Evaluation infrastructure: Build the systems we use to run and reproduce experiments.
Reproducibility: Own environments, tooling, and repeatable runs.
Collaboration: Partner with security and evaluation engineers on their workflows.