Nvidia Senior Product Quality Engineer 

United States, California 

522694162

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 GPU Data Center products quality improvement initiatives and programs.

• Detailed failure analysis, identifying root-cause of customer reported issues – Perform PCB-level debugging to isolate faults for physical FA.

• Define appropriate characterization techniques to root cause complex problems.

• Continuously apply sophisticated analysis tools and methodology.

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

• Share lesson-learn from previous field quality issues; give early input via DFMEA to ensure known quality, reliability, manufacturing issues are identified, and risks are mitigated.

• 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.

• Bachelor’s or Master’s degree in Electronic Engineering or related fields (or equivalent experience).

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

• Proficient in power electronics analysis, PCB level troubleshooting and debugging.

• Knowledge on Linux system and Linux Shell Scripts.

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

• The technical background of server products designverification/validation,production testing, or statistical analysis is a plus.

• Good communication and documentation skills.