Silicon Product Development Engineer

Posted 3 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
136K-213K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and implement ATE test content, analyze characterization and failure data to improve GPU yields, predict test durations, maintain failure analysis plans, and manage vendor relationships (foundry, assembly, memory) while collaborating with program management to ensure chip quality.
Summary Generated by Built In

Are you prepared to step into a vital position within a top-tier organization? In the role of Silicon Product Development Engineer at NVIDIA, you will be instrumental in launching our brand-new Data Center products. This role offers an outstanding opportunity to work alongside a world-class team and use your expertise to impact GPU production yields and optimize test time forecasts. Your contributions will directly improve the quality and performance of our ground-breaking silicon products.

What you'll be doing:

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

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

  • Develop and maintain failure analysis plans to strictly adhere to yield improvement.

  • 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.

  • 5+ 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:

  • Possesses in-depth knowledge of advanced technology node, assembly stacking processes, and vendor management.

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

  • Demonstrates comprehensive understanding of Silicon failure analysis technique.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technological world’s most desirable employers. We have some of the most experienced and talented people in the world working for us. Are you creative and autonomous, with a genuine passion for technology? 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 136,000 USD - 212,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 21, 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 or Master's degree in Electrical Engineering, Computer Engineering, or equivalent experience.
  • 5+ years of direct PDE (Product Development Engineer) experience.
  • Experience with ATE test content development and implementation.
  • Proven track record in ASIC Mixed Signal build, characterization, and qualification of BIST and SCAN DFT methodologies.
  • Knowledge of advanced silicon process technology such as FinFET.
  • Hands-on experience in Chip-On-Wafer-On-Substrate Assembly and Silicon GPU Product Engineering.
  • HBM (High Bandwidth Memory) vendor management experience.
  • Strong problem-solving skills and experience analyzing characterization outcomes and predicting test durations.
  • Excellent interpersonal skills for multi-functional and cross-company collaboration.
  • In-depth knowledge of advanced technology node, assembly stacking processes, and vendor management.
  • Strong grasp of silicon characterization, wafer sort, and final test DFT coverage.
  • Comprehensive understanding of silicon failure analysis techniques.

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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