Harness and Platform Engineer, AI Safety and Security Engineering
NVIDIA is hiring a Harness and Platform Engineer, AI Safety and Security Engineering in Santa Clara, United States. It pays $152k-$242k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include AI safety.
- Level classifies it as a senior role.
- Level lists 2,700+ other open roles at NVIDIA.
AI in this role
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.
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 9, 2026.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.How we rate this
Harness and Platform Engineer, AI Safety and Security Engineering at NVIDIA rates 64 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you think about the risk of an AI system in this kind of role failing silently?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new software engineering jobs (Works on AI ●●●○ or higher) by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Software Engineering roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step