Senior Silicon Product Development Engineer

Posted 12 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
168K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Silicon Product Development Engineer will oversee product development from pre-Silicon to market launch, manage project plans, maintain vendor relationships, and enhance manufacturing yields.
Summary Generated by Built In

NVIDIA is searching for a highly motivated, creative Senior Silicon Product Development Engineer with strong foundation in Product Engineering and expert project management skills to join the GPU PDE team. As someone who is hardworking and passionate about their work, you will manage product bring up from pre Silicon, to NPI bring up to launch to the market successfully. The candidate should demonstrate the ability to drive complex schedules with problem resolution through analytical and complex problem solving techniques.

What you'll be doing:

  • Own the development and implementation of ATE test content for our product line.

  • Develop and maintain project plans to strictly adhere to market delivery timelines.

  • Impact manufacturing yields, minimize excess, and contribute to business administration efforts by accurately predicting test durations and analyzing characterization outcomes.

  • Manage key vendor relationships, particularly with Foundry, Assembly and Memory vendors, ensuring flawless collaboration and delivery.

  • Collaborate closely with Supply and Demand program management to meet and exceed chip quality levels.

What we need to see:

  • Bachelor or Master's degree in Electrical Engineering, Computer Engineering, or equivalent experience.

  • 7+ years of direct PDE experience

  • Strong problem-solving skills and a proven track record in ASIC Mixed Signal build, characterization, and qualification of BIST and SCAN DFT methodologies.

  • Knowledgeable in advanced Silicon Process technology such as FinFET

  • Hands-on experience in Chip-On-Wafer-On-Substrate Assembly, Silicon GPU Product Engineering, and HBM Memory vendor management.

  • Excellent interpersonal skills for effective multi-functional and cross-company collaboration.

Ways to stand out from the crowd:

  • Demonstrates comprehensive understanding of Memory testing methodology.

  • Possesses in-depth knowledge of assembly stacking processes and vendor management.

  • Has a strong grasp of all aspects of GPU characterization, wafer and final test DFT coverage.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, best-in-class teams are rapidly growing. If you’re creative and autonomous with a real passion for your work, we want to hear 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 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 26, 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.

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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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