Senior Product Security System Test Engineer

Reposted 6 Days Ago
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Santa Clara, CA
In-Office
128K-247K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves developing security test solutions, enhancing asset management and security methodologies, debugging software/hardware, and collaborating with engineering teams.
Summary Generated by Built In

We are looking to hire a Senior Product Security Ops Engineer for our product security initiatives with a strong background in security test methodologies and asset management strategy for systems and board products who will work in the test solutions group at NVIDIA developing manufacturing test solutions. Through HW and SW expertise, you will explore challenging areas of test coverage and test automation to find the right solutions.

NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join our growing team today!

What you will be doing:

  • Work on software solutions for NVIDIA products in NPI

  • Collaborate with different teams (SW and SW security)

  • Build expertise on asset management and security test methodologies of system and board products and product security initiatives.

  • Investigate and introduce new manufacturing test technology and methodology to improve security and asset management and production efficiency.

  • Debug complex hardware and software issues and asset provisioning during build phases

  • Contribute to automated diag generation and validation infrastructure.

What we need to see:

  • 5+ years of experience with knowledge/familiarity with post-silicon validation in board or system level products, HW/SW security, SW Debugging, Cryptography and Network Security

  • BS/MS Degree in Computer Science Engineering or equivalent experience

  • Experience working with manufacturing test programs at platform or system level.

  • Proficiency in Python programming and experience with Linux operating systems. Familiarity with version control systems, particularly GitLab

  • Excellent problem-solving skills, attention to detail, and effective communication skills.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Come build the future with us!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 3, and 152,000 USD - 253,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 9, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Top Skills

Gitlab
Linux
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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