Senior Board Test Engineer

Posted 3 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Board Test Engineer at NVIDIA will develop manufacturing GPU/CPU test solutions, create test strategies for new product features, support test content development, and introduce new test methodologies to enhance production efficiency while collaborating with various teams.
Summary Generated by Built In

We are looking to hire a Senior Board Test Engineer who will work in the Test Solutions Group at NVIDIA developing manufacturing GPU/CPU test solutions for Data Center products. Through HW and SW expertise, you will explore significant 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:

  • Define manufacturing hardware test solutions that translate into methodologies and processes applicable across Board and System product segments.

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

  • Support the development of test content and solutions in Python.

  • Collaborate with different teams to develop GPU and CPU testing coverage, including HW Design, Quality, Software Development

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

  • Contribute to our automated Diag generation and validation infrastructure.

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

  • Debug complex hardware and software issues during build phases.

What we need to see:

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering or a related field (or equivalent experience).

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

  • Experience working with manufacturing test programs at platform level.

  • Experience with Python programming and bash scripting.

  • Experience working with different board level products.

  • Solid Knowledge of IPMI, PCIE, BMC, and Thermal Solutions.

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

The base salary range is 124,000 USD - 235,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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

Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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