NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. GPU deep learning ignited the modern AI era — with NVIDIA hardware and software acting as the foundation for the world’s most ambitious AI, robotics, and autonomous systems workloads. Today, we are the AI computing company. NVIDIA Data Center Systems — including DGX, HGX, and MGX platforms — deliver the world’s leading infrastructure for AI at scale. We are growing our teams with the most thoughtful, creative, and driven people on the planet.
NVIDIA is seeking a software engineer with systems software and security experience to join the Data Center Systems Software team. You will investigate and resolve product vulnerabilities and strengthen Secure Development Lifecycle (SDL) practices for platforms including HGX, DGX, and MGX.
What You’ll Be Doing:
- Investigate and reproduce vulnerabilities, assess exploitability and impact, and identify affected products and software versions.
- Assess third-party vulnerabilities and coordinate dependency updates, mitigations, or documented exceptions.
- Drive timely remediation with engineering owners and PSIRT Operations, including risk prioritization, escalation, and coordinated vulnerability disclosure.
- Develop or review security fixes, validate mitigations, develop regression tests, and coordinate updates across supported releases.
- Build automation for vulnerability triage, analysis, and tracking.
- Improve SDL practices through threat modeling, security design reviews, and other best-practices.
- Evangelize and drive SDL practices across NVIDIA data center software teams.
What We Need to See:
- BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 5+ years of relevant software or security engineering experience.
- Hands-on experience investigating and remediating vulnerabilities, including familiarity with CVSS scoring and CWE classification.
- Experience with secure development practices and security testing tools, such as static analysis, fuzzing, and software composition analysis.
- Familiarity with server firmware and systems software, plus experience building automation using Python or a comparable language.
- Experience with modern AI and Agents, including AI-forward mindset and proactive adoption of cutting-edge tools and techniques.
- The ability to drive resolution across distributed and diverse engineering teams.
- Solid technical foundation in embedded systems, with the ability to engage credibly in technical discussions around firmware architecture, memory safety, and hardware-software interfaces.
- Excellent written and verbal communication skills, with a strong preference for written communication that creates clarity and institutional memory for a remote team.
- Comfortable with ambiguity and complexity; you make sound decisions quickly with incomplete information and course-correct without friction.
Ways to Stand Out from the Crowd:
- Product security experience with modern data center systems.
- Knowledge of secure boot, root of trust solutions, attestation, and related technologies such as UEFI, SPDM, or TCG DICE.
- A track record of improving SDL adoption or security automation across engineering teams.
- Demonstrated vulnerability research, security fixes, or open-source security contributions.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!
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 for Level 3, and 184,000 USD - 287,500 USD for Level 4.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
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience
- 5+ years of relevant software or security engineering experience
- Hands-on experience investigating and remediating vulnerabilities
- Familiarity with CVSS scoring and CWE classification
- Experience with secure development practices and security testing tools, including static analysis, fuzzing, or software composition analysis
- Familiarity with server firmware and systems software
- Experience building automation using Python or a comparable language
- Experience with modern AI and agents, including proactive adoption of emerging tools and techniques
- Ability to drive resolution across distributed and diverse engineering teams
- Technical foundation in embedded systems, firmware architecture, memory safety, and hardware-software interfaces
- Excellent written and verbal communication skills
- Ability to work comfortably with ambiguity and complexity and make sound decisions with incomplete information
- Product security experience with modern data center systems
- Knowledge of secure boot, root of trust, attestation, UEFI, SPDM, or TCG DICE
- Track record of improving SDL adoption or security automation across engineering teams
- Demonstrated vulnerability research, security fixes, or open-source security contributions
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 — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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.”
