Senior System Test Engineer

Posted Yesterday
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Santa Clara, CA, USA
In-Office
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and implement manufacturing test solutions for datacenter systems, including test strategies, fixtures, equipment, diagnostic software, and automation infrastructure. Collaborate with contract manufacturers, investigate test technologies, review design-for-test considerations, and debug complex hardware and software issues during production builds. The role requires post-silicon validation experience, platform-level manufacturing testing, datacenter platform expertise, and Python and Bash programming.
Summary Generated by Built In

We are looking to hire a System Test Engineer who will work in the test solutions group at NVIDIA developing manufacturing test solutions for Datacenter products. 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 enabled 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:

  • Define and implement manufacturing test solutions for Datacenter System products.

  • Work closely with Contract Manufacturers, including occasional travel to their factories.

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

  • Develop test strategy for new product features including identification, specification, design and qualification of test fixtures, test equipment and diagnostic software.

  • Review and provide feedback for DFT in the early design stages.

  • Debug complex hardware and software issues during build phases.

  • Contribute to automated diagnostic generation and validation infrastructure.

What we need to see:

  • 8+ years of experience with post-silicon validation experience in Board or System products.

  • BS Degree or equivalent experience.

  • Experience working with manufacturing test programs at platform level.

  • Experience with Datacenter Platforms.

  • Background with Python programming and bash scripting.

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

Ways to stand out from the crowd:

  •  Background with rack and cluster level test, test methodology and strategy.

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 152,000 USD - 253,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 1, 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 Required

  • 8+ years of post-silicon validation experience with board or system products
  • Bachelor of Science degree or equivalent experience
  • Experience working with platform-level manufacturing test programs
  • Experience with datacenter platforms
  • Python programming experience
  • Bash scripting experience
  • Excellent problem-solving skills
  • Strong attention to detail
  • Effective communication skills
  • Experience with rack- and cluster-level testing, test methodology, and test strategy

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.

  • 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.
  • 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.
  • 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

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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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