Senior System Test Engineer

NVIDIA is hiring a Senior System Test Engineer in Santa Clara, United States. It pays $152k-$253k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classifies it as a senior role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

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 other objective job-related factors. The expected base salary ranges for this position are:
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 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.

How we rate this

Senior System Test Engineer at NVIDIA rates 18 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.