Senior Product Quality Engineer

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Santa Clara, CA, USA
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

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. If you're creative and autonomous, we want to hear from you! We are looking for a Product Quality Engineer to participate at NPI (New Product Introduction) stage of data center products, identify and resolve any design weakness, quality issues that may arise, continuously work on the quality and reliability improvement. You will greatly influence quality across the company through interactions with internal and external engineering groups. The ideal candidate will have a good understanding of AI(Artificial Intelligence)/Data Center products, 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 computer products quality improvement initiatives and programs.

What you’ll be doing:

  • Detailed failure analysis, identifying root-cause of customer reported issues – Perform PCB-level analysis to isolate faults for physical FA on NVIDIA Data Center Compute Modules.

  • Define appropriate characterization techniques to root cause complex problems

  • Continuously develop sophisticated analysis tools and methodology to screen identified failure modes and expand FA capacity.

  • Apply knowledge of system design, electrical engineering and PCBA manufacturing to propose containment and corrective action for design/production/supplier.

  • Assist in generating 8D failure analysis reports and verify/characterize corrective actions’ effectiveness.

  • Quality representative to internal teams, supporting activities for customer quality and internal quality requirements.

What we need to see:

  • Master’s degree or above in Electronic Engineering, related fields or equivalent experience

  • 8+years of related experience

  • Hands-on experience in PCB level hardware verification/debug and signal integrity measurement

  • Knowledge on AI/Data Center products design verification and validation, production testing, and statistical analysis

  • Proficiency in Linux system and Linux Shell Scripts. Experience with scripting languages such as Python is a plus.

  • Familiarity with data center deployment and bus standards/protocols like PCIe, IPMI, Redfish is a plus.

  • Exceptional problem solving and Failure Analysis, strong attention to detail and analytical thinking.

  • Good communication and documentation skills in English

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers, and we have some of the most forward-thinking and hardworking people in the world working for us. Due to outstanding growth, our best-in-class teams are rapidly growing so if you're creative and autonomous with a real passion for technology, we want to hear from you.

#LI-Hybrid

The base salary range is 140,000 USD - 264,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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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