Senior Silicon Product Development Engineer

Posted 6 Days Ago
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Santa Clara, CA, USA
In-Office
168K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Own silicon product development from pre-silicon through launch, including ATE test content, product bring-up, characterization, qualification, yield improvement, and test-duration analysis. Manage schedules, manufacturing and assembly partners, foundry and memory vendors, and cross-functional supply and demand programs. Apply expertise in ASIC mixed-signal design, BIST and SCAN DFT, FinFET technology, GPU product engineering, HBM memory, and advanced packaging.
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 other objective job-related factors. The expected base salary ranges for this position are:
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 November 6, 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

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or equivalent experience
  • 7+ years of direct product development engineering experience
  • Strong problem-solving skills
  • Experience with ASIC mixed-signal build, characterization, and qualification
  • Experience with BIST and SCAN DFT methodologies
  • Knowledge of advanced silicon process technology such as FinFET
  • Hands-on experience with Chip-On-Wafer-On-Substrate assembly
  • Silicon GPU product engineering experience
  • HBM memory vendor management experience
  • Excellent interpersonal skills for multifunctional and cross-company collaboration
  • Comprehensive understanding of memory testing methodology
  • In-depth knowledge of assembly stacking processes and vendor management
  • Strong understanding of GPU characterization, wafer testing, final testing, and DFT coverage

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 — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
  • Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
  • Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.

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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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