---
title: Security Engineer, GPU Kernel Driver at NVIDIA
description: NVIDIA is hiring for the Security Engineer, GPU Kernel Driver role in Santa Clara,
  CA. Full-time role. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/security-engineer-gpu-kernel-driver-at-nvidia-01a0f5a5-023c-7495-b6f7-ad2bb8e704eb
date: 2026-11-15T01:26:44Z
og_description: Join NVIDIA as Security Engineer, GPU Kernel Driver in Santa Clara, CA. Pays $152K–$241.5K
  per year. Full-time role.
og_image: https://www.foundrole.com/og/i2f910.png
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  - label: Home
    url: https://www.foundrole.com/
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---

| | |
|---|---|
| **Company** | [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) |
| **Location** | Santa Clara, CA |
| **Salary** | $152K/yr - $241.5K/yr |
| **Type** | Full Time |
| **Posted** | Sep 29, 2026 |

## Is this job real?

**Ghost job check:** A- · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** NVIDIA sponsors H-1B visas. It filed 3,120 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for NVIDIA.

## Pay for similar jobs

Most similar jobs pay $197,000 – $290,000 a year (median $236,000).

## Description

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!  

**What you'll be doing:**

- 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  

**What we need to see:**

- 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

**Ways to stand out from the crowd:**

- 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  

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/](http://www.nvidiabenefits.com/)

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:  
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](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until November 3, 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.
## Skills

- Stakeholder Engagement
- Debugging
- C
- Stakeholder Management
- Application Security
- Computer Architecture
- Hardening
- Triage
- Vulnerability Research
- Robotics
- Security Analysis
- Backlog Management
- Code Coverage
- Root Cause Analysis
- Linux Kernel Development
- Unit Testing
- SLA Management
- Computer Graphics
- Edge Security
- Checkmarx
- Coverity
- Incident Response
- GPU (Graphics Processing Unit)
- Large Language Models (Llm)
- Fuzz Testing
- Computer Science
- Agentic Workflows
- Security Review
- Communication
- Secure Coding
- Threat Modeling
- Firmware

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