Board Product Development Engineer

Reposted 15 Days Ago
Santa Clara, CA, USA
In-Office
108K-213K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Board Product Development Engineer will support the development and validation of NVIDIA's engineering boards, work with cross-functional teams, debug multi-disciplinary problems, and optimize manufacturing processes for board products.
Summary Generated by Built In

NVIDIA is an industry leader in AI, high performance computing and gaming. We are the Board Product Development Engineering team within NVIDIA’s operations group. Our work lies at the intersection of multi-disciplinary engineering fields – including but not limited to electrical, electronics, mechanical, thermal and software engineering. We are looking for a Senior Product Development Engineer - Boards, to help bring highly complex board products from its design phase into mass production.

What you’ll be doing?

  • Work on NVIDIA Engineering boards, tester system to support gaming / workstation / compute GPU cards during NPI and in production
  • Work with cross-functional teams (including Hardware Design, Software, Manufacturing, Quality / Reliability, Application Engineering and Marketing) to achieve fast-paced delivery schedules on groundbreaking products
  • Provide DFx recommendations to design team when the product is in design phase – highlighting electrical, mechanical and thermal challenges.
  • Root Cause failing boards using lab equipment (multimeters, oscilloscopes etc…) as well as SW tools.
  • Analyze yield and parametric data using available tools and programming / scripting
  • Perform product design and validation to support design engineering sustaining work.
  • Define and improve manufacturing test plans to optimize coverage, test-time, test-cost and yield
  • Direct local and overseas contract manufacturing factories to transition new products to mass-production.
  • Regularly report product status and recommend improvements to management

What we need to see:

  • Experience in two or more of the following areas – Server architectures, test equipment, board/PCB-design, SMT, assembly, board or post-Si validation, product engineering, design or validation of high speed interfaces (like PCI-E / DP / HDMI / USB), Power-Integrity, Thermal characterization, complex test setups
  • Ability to debug complicated multi-disciplinary problems
  • Good team spirit and strong communication
  • Good grasp of testing strategies and their relation to yields and test-time
  • 2+ years of experience in design / manufacturing / validation / product development / testing of PCB’s, Silicon or some other systems
  • Bachelor’s or master’s degree in electrical engineering or computer science – or equivalent experience

Ways to stand out from the crowd:

  • Knowledge of test equipment, Design for assembly, PCB manufacturing process, system assembly / testing and mechanical tolerances
  • Knowledge of how to build computers and tweak BIOS settings
  • Experience in data analysis, software tools and scripting
  • Experience enabling / driving cross functional debug

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most resourceful and talented people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are growing. If you're a creative and autonomous engineer with a real passion for technology, we look forward to hearing from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 30, 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.

Skills Required

  • 2+ years of experience in design/manufacturing/validation/testing of PCBs or related systems
  • Bachelor's or master's degree in electrical engineering or computer science or equivalent experience
  • Experience in server architectures, test equipment, board/PCB design, or validation of high speed interfaces

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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