NVIDIAGPU SW Security Engineer
AI in this role
Lead the adoption of AI agents and automated security checks for GPU software release pipelines at NVIDIA.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking fora highly motivated security engineer to join the GPU Software team. You will focus on automating how we enforce our security bar across every SW release, using both traditional tooling and AI agents, and help teams across the organization adopt them.
What you'll be doing:
- Lead our adoption of AI agents in security, finding manual workflows and reinventing them.
- Take proven agentic workflows through development and into production, drive adoption across engineering teams.
- Translate security requirements (hardening flags, isolation mechanisms, security invariants) into automated, per-release checks across software ranging from firmware to user-mode applications.
- Own and maintain the release security scanning pipeline, and prioritize its findings with product teams.
- Collaborate in the broader security engineering work: threat modeling, arch reviews, vulnerability mitigation & remediation.
What we need to see:
- 5+ years in security engineering, with experience in drivers, kernel, or fw.
- Strong programming skills in Python and C.
- Hands-on experience building LLM agents or agentic workflows.
- Experience integrating tooling into CI/CD and release pipelines.
- Track record of taking an internal tool from prototype to broad adoption, without direct authority.
- BS or MS degree in Computer Engineering, Computer Science, or related field.
Ways to stand out from the crowd:
- Application of isolation mechanisms such as sandboxing, containers, virtualization, and privilege separation.
- Built or maintained static or binary analysis tooling.
- Experience defining security baselines or policy-as-code.
- Solid understanding of toolchains such as GCC, GDB.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 2, 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
GPU SW Security Engineer at NVIDIA rates 65 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. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where security engineering was part of your work. What did you do?
- Tell me about a project where threat modeling was part of your work. What did you do?
- Tell me about a project where vulnerability mitigation was part of your work. What did you do?
- Tell me about a project where agentic workflows was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Agents, Security Engineering, Threat Modeling, Vulnerability Mitigation, and Agentic Workflows. 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.
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