Senior Product Quality Engineer

Reposted 18 Days Ago
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Santa Clara, CA
In-Office
108K-224K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Product Quality Engineer leads failure analysis for NVIDIA's system products, resolving technical issues, analyzing quality data, and improving product quality.
Summary Generated by Built In

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

We are looking for a Product Quality Engineer to join our team leading all aspects of failure analysis for NVIDIA’s system product segment throughout the life of the product. You will greatly influence quality across the company through interactions with internal and external engineering groups. The ideal candidate will have excellent analytical skills with a strong structured problem-solving background and proven experience in failure root cause resolution. Your hands-on failure analytical skills and strong quality mindset are essential as you will be working to drive NVIDIA System products quality improvement initiatives and programs.

What you’ll be doing:

  • Identify and analyze customer reported technical issues for Data Center compute tray and compute modules.

  • Conduct system level, board level failure analysis on field failures to identify the root cause and provide risk assessment.

  • Interact with functional groups like engineering, manufacturing to address and resolve critical product and customer issues, provide quality improvement solution.

  • Analyze quality data to identify improvement opportunities and work with cross functional teams to implement corrective measures and defect prevention with a focus on process control and error proofing.

  • Perform data analysis to generate periodic quality report, detect subtle trends and report quality concerns.

What we need to see:
  • Bachelor’s degree in Electronic Engineering or related fields, Master’s degree is preferred, or equivalent experience.

  • 5+ years working experience. Hands-on experience in PCB level hardware verification/debug and signal integrity measurement.

  • Experience with board level schematic and PCB layout design is preferred

  • Strong analytical and problem-solving skills, solid understanding of trouble-shooting concept including design of experiments, root cause analysis and statistical process control.

  • Familiar with Linux system and Linux Shell Scripts.

  • Knowledge of AI chips and memory devices is a plus.

  • Knowledge of quality and reliability concepts as well as manufacturing operations is a plus.

  • Good command of English in both written and spoken. And good communication and documentation skills.

  • High sense of responsibility, self-motivated, good team player.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant 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 108,000 USD - 172,500 USD for Level 3, and 140,000 USD - 224,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 19, 2025.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

Ai Chips
Linux
Linux Shell Scripts
Memory Devices
Pcb Design
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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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