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NVIDIA

Designs the chips and software that power AI

Senior Product Engineer

Quality EngineeringConfirmed live in the last 24 hours
Full-timeHanoi, VietnamNo salary listed

About the Job

Requirements

  • A BS or MS in Electrical Engineering, Computer Engineering, Systems Engineering, Engineering Science, or Physics.
  • At least 5 years of experience in backend product manufacturing for consumer or enterprise board-level products.
  • Deep technical knowledge of hardware for consumer or enterprise board-level products and failure analysis.
  • Proven experience in manufacturing continuous improvement, particularly at the board level.
  • Strong knowledge of lean manufacturing principles, Six Sigma, and other process improvement methodologies.
  • Strong analytical and problem-solving skills.
  • Leadership and project management abilities.
  • Strong communication and interpersonal skills.
  • Expertise in board-level failure analysis and troubleshooting.
  • Proficiency in both English and Chinese.
  • Ability and willingness to travel for on-site support in China, Taiwan, Vietnam, Mexico, and the United States.

Responsibilities

  • Identify and address recurring or long-standing manufacturing issues through comprehensive root cause analysis.
  • Conduct detailed failure analysis for board-level components to determine the root cause of defects and performance issues.
  • Develop and implement corrective and preventive actions to resolve persistent production problems.
  • Facilitate problem-solving sessions and workshops to gather cross-functional input and develop effective solutions.
  • Monitor and evaluate the effectiveness of implemented solutions, making adjustments as necessary to ensure long-term success.
  • Document and share best practices and lessons learned to prevent future issues.
  • Provide expert guidance and support to teams dealing with complex manufacturing challenges.
  • Regularly review and update processes to reflect changes and improvements.
  • Define yield handling, aging, event alerts, and OCAP, and lead DOE to solve bugs.

Desired Qualifications

  • Experience with board-level manufacturing processes and technologies.
  • Advanced knowledge of failure analysis methodologies and tools.
  • A proven track record of resolving complex manufacturing issues and implementing robust corrective actions.
  • Familiarity with industry standards and technological advancements related to board-level manufacturing and failure analysis.
  • Experience with graphic product engineering, manufacturing, and failure analysis.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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