Role at a glance
- Salary
- $152K – $241.5K/yr
- Location
- 6 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of software engineering experience
- Education
- Bachelor's degree (or equivalent experience)
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Role Summary
The Harness/Platform Engineer will build and maintain the agent harness and platform supporting AI-powered tooling for finding, validating, and patching software vulnerabilities. The role supports reproducible experiments and works closely with security research and evaluation engineers to improve their workflows.
What You'll Do
- Design, implement, and maintain the agent harness.
- Build systems used to run and reproduce experiments.
- Own environments, tooling, and repeatable runs.
- Partner with security and evaluation engineers on their workflows.
- Debug issues with the people who experienced them first.
- Remove friction from researcher workflows.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelor's degree or equivalent experience, 5+ years of software engineering experience, strong Python engineering, comfort with containerized environments and CI/CD, and experience with agent frameworks, LLM orchestration, ML infrastructure, or evaluation harnesses.
Required
- Bachelor's degree or equivalent experience
- 5+ years of software engineering experience
- Strong Python engineering
- Containerized environments
- CI/CD
- Experience with agent frameworks, LLM orchestration, ML infrastructure, or evaluation harnesses
- Versioned tooling and repeatable results
Preferred
- Hands-on work with NVIDIA NeMo or similar agent frameworks
- Exposure to security tooling or vulnerability research
- Building internal tools other engineers enjoy using
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
What You'll Be Doing:
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.
What We Need To See:
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.
Ways to Stand Out from the Crowd:
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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.