GPU SW Security Engineer

NVIDIA•Us, CA

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.