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 other objective job-related factors. The expected base salary range for this position is 152,000 USD – 241,500 USD.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.Skills Required
- 5+ years of experience in security engineering
- Experience with drivers, kernel, or firmware
- 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 a related field
- Experience with sandboxing, containers, virtualization, or privilege separation
- Experience building or maintaining static or binary analysis tooling
- Experience defining security baselines or policy-as-code
- Solid understanding of GCC and GDB toolchains
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
