Security Engineer, GPU Kernel Driver

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 searching for a strong, dedicated, creative security engineer to join our GPU System Software team at NVIDIA. You will join an inclusive team of motivated security engineers who develop mitigations, conduct security research, and build advanced security platforms and frameworks. These tools help find vulnerabilities at scale in some of the most complex systems software worldwide. This is an outstanding opportunity to contribute to the foundation of gaming, professional graphics, and the cloud. Our GPUs power breakthroughs in AI, data centers, accelerated computing, healthcare, intelligent networking, and more. Join us to help maintain an industry-leading security posture for these groundbreaking products!

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering or equivalent experience
5+ years of relevant industry software engineering experience
Experience with security analysis of complex systems
Demonstrated strong technical background; excellent C programming and low-level driver experience
Knowledge of operating systems and computer architecture fundamentals
Strong communication, troubleshooting, and debugging skills

Nice To Haves

Experience with secure code quality practices and tooling to support quick engagements and rapid analysis: static analysis tools (Coverity, Checkmarx, or similar), dynamic scanning (Rapid 7, AppSider, or similar), Fuzzing (AFL, Peach, or similar), code coverage (Bullseye, LDRA, etc.)
Experience applying AI/LLM-based tools and agentic workflows
Experience with vulnerability research
Understanding of secure software development lifecycle standard methodologies, e.g. threat modeling, unit testing, incident response, etc.
Shown skills in working in large geographically distributed teams

Responsibilities

Own the security vulnerability backlog for kernel and firmware components, driving timely triage, remediation and SLA compliance; identify creative, scalable approaches to reduce backlog growth
Lead a continuous security pipeline scanning, triage, root-cause analysis, remediation and validation across SW and FW components, communicate security risks to stakeholders effectively
Communicate security risks, security posture and remediation progress through metrics, reports and stakeholder engagement
Partner with engineering and security teams to define and execute long-term security strategy and product hardening efforts
Drive and implement security reviews of software and hardware designs, assisting others to ensure the quality and robustness of our products
Evaluate, recommend, and develop cutting edge security technologies, tools, and practices: static analysis for security enforcements, dynamic analysis solutions for fuzzing