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.
Join NVIDIA’s dynamic and innovative team as a Senior Security Software Engineer in Santa Clara, CA! This isn't just another job; it’s a chance to be part of a team setting the industry standard for excellence. At NVIDIA, you will develop powerful GPU technology that supports AI, edge computing, networking, robotics, and self-driving cars. This technology enables machines to interpret the world in new ways. This is an outstanding opportunity to push technological boundaries!
What you'll be doing:
Crafting, developing, and implementing advanced security software solutions for Tegra SOC that meet the highest standards of performance and reliability.
Collaborating with customers, partners, and cross-functional hardware, architecture and software teams to integrate flawless security features into NVIDIA’s innovative products.
Conducting detailed security assessments and code reviews to identify and resolve vulnerabilities.
Take an active role in the new silicon lifecycle, from pre-silicon simulation/emulation, test validation to power-on bring up phases. Specify and implement test cases while actively seeking improvements to test automation and software quality.
Leading efforts to ensure compliance with industry security standards and regulations.
Providing mentorship and guidance to junior engineers, encouraging a culture of excellence and ambition.
Making contribution to the development of NVIDIA’s security strategy and roadmap, helping to determine the strategic direction of our security initiatives.
What we need to see:
Bachelor’s degree in Computer Science, Engineering, or a related area, or equivalent experience.
Minimum of 5 years of experience in security software engineering.
Proven track record of developing and implementing security solutions in complex environments.
Strong knowledge of security protocols and processes, cryptography, CPU and system architecture and secure coding practices.
Experience with AI tooling and workflow, and security assessment tools and methodologies.
Excellent problem-solving skills and the ability to work collaboratively in a diverse team.
Strong communication skills, both written and verbal.
Ways to stand out from the crowd:
Master’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
Experience with GPU and SOC technology, advanced architecture design topics such as Security Enclave, Secure Boot, Root of Trust, Runtime Security services, Confidential Compute, Cryptography and more.
Demonstrated ability to lead security initiatives and mentor other engineers.
Published research or contributions to the security community.
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 degree in Computer Science, Engineering, or related field, or equivalent experience
- Minimum of 5 years of experience in security software engineering
- Proven track record of developing and implementing security solutions in complex environments
- Strong knowledge of security protocols and processes, cryptography, CPU and system architecture, and secure coding practices
- Experience with AI tooling and workflow, and security assessment tools and methodologies
- Excellent problem-solving skills and ability to work collaboratively in a diverse team
- Strong written and verbal communication skills
- Master's degree in Computer Science, Engineering, or related field, or equivalent experience
- Experience with GPU and SoC technology, Security Enclave, Secure Boot, Root of Trust, Runtime Security services, Confidential Compute
- Demonstrated ability to lead security initiatives and mentor other engineers
- Published research or contributions to the security community
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.”
