Senior Product Quality Engineer

2 weeks ago


Shenzhen, Guangdong, China NVIDIA Full time

NVIDIA is known as one of the top tech companies to work for. We have a team of incredibly smart and talented individuals. If you love thinking outside the box and taking the lead on projects, then we want you

We're searching for a Product Quality Engineer to be part of our team focusing on failure analysis for NVIDIA's system products. This role plays a significant part in shaping product quality by collaborating with various engineering teams. The perfect candidate will have strong analytical skills, problem-solving expertise, and a background in resolving failure root causes. Your practical failure analysis abilities and commitment to quality will be crucial as you lead initiatives to enhance the quality of NVIDIA System products.

Here's what you'll be responsible for:

  • Identifying and examining technical issues reported by customers related to Data Center sub-system and compute modules.
  • Performing failure analysis at system and board levels for field failures to pinpoint root causes and assess risks.
  • Collaborating with different teams like engineering and manufacturing to resolve critical product and customer issues, offering quality improvement solutions.
  • Analyzing quality data to uncover enhancement opportunities and collaborating with cross-functional teams to implement corrective actions and prevent defects with a focus on process control and error prevention.
  • Utilizing data analysis to create regular quality reports, identify subtle trends, and address quality concerns.

What we're looking for in you:

  • Bachelor's degree in Electronic Engineering or related fields, Master's degree is a plus.
  • Over 5 years of work experience.
  • Hands-on experience in PCB level hardware verification/debug and signal integrity measurement.
  • Proficiency in board level schematic and PCB layout design is desirable.
  • Strong analytical and problem-solving skills, solid grasp of troubleshooting concepts such as design of experiments, root cause analysis, and statistical process control.
  • Familiarity with Linux systems and Linux Shell Scripts.
  • Knowledge of AI chips and memory devices is beneficial.
  • Understanding of quality and reliability principles as well as manufacturing operations is advantageous.
  • Excellent command of English in both written and spoken forms.
  • Strong communication and documentation abilities.
  • High level of responsibility, self-driven, and a great team player.


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