Senior Chip Supplier Quality Engineer

Reposted 12 Days Ago
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Hsinchu County, TWN
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Chip Supplier Quality Engineer will drive quality improvements, manage supplier processes, conduct audits, and lead quality initiatives in chip manufacturing operations.
Summary Generated by Built In

We are now looking for a Sr. Chip Supplier Quality Engineer (SQE) in our Taiwan, Hsinchu Office.

Needless to say, NVIDIA is the world leader in visual computing technologies and the inventor of the GPU, a super high-performance processor which generates breathtaking, interactive graphics on workstations, personal computers, game consoles, mobile devices and AI. We are seeking a Supplier Quality Engineering Manager who is experienced, creative problem solvers in various areas and passionate to want to make a clear impact with the work they do. As part of the Operations Supplier Quality Engineering Team, you will work on productizing NVIDIA’s chips into servers and datacenter markets.

What you’ll be doing:

  • Drive Chip OSATs quality continuous improvements in terms of effective Quality Management Systems (QMS) metrics.

  • Work closely with manufacturing partners in audit, quality KPI management, process compliance, manage quality excursions, and qualification. Frequently factory on-site support will be needed.

  • Cooperate with internal cross functional teams, as a main factory quality interface.

  • Initiate SCAR/8D, hands on driving contract manufacturer to conduct containment actions, find root causes, risk assessment, implement preventive actions for quality excursions, review response/actions and drive for close loop closure.

  • Develop quality management strategy and identify risks in early phase.

  • Input quality comments to Quarterly Business Reviews (QBRs) and use data to influence improvements within the company and CM/ODMs.

  • Work with teams for qualification, PCN, MRB, SOP, process and product control review.

What we need to see:

  • BS or MS degree in mechanical, electrical, industrial, statistic engineering or a related engineering degree field.

  • 10+ years of engineering or quality experience in chip operations (foundry, bump, probing, assembly, FT/BI/SLT…etc.) manufacturing quality management.

  • Familiar with QMS and quality core tools application (8D, APQP, FMEA, SPC, MSA…etc).

  • Experience or certificate of IATF16946, ISO9001 lead auditor, VDA6.3 auditor, CQE, CQT, CRE, Six Sigma/Lean is a plus.

  • CoWoS or advanced package assembly and test process experience is required.

  • Good communications in English with effective communication skill set, including data collection, logical and statistical analysis, and oral presentation.

  • Be self- and data-driven and self-motivate.

Ways to stand out from the crowd:

  • Strong collaboration skills and teamwork management. Fluent in both English and Mandarin.

  • Excellent communication, problem-solving, and decision-making skills.

  • A strong team player, supporting & analytical skill, and good working attitude.

  • Lead and drive suppliers for effective process and quality improvement with minimal supervision.

  • Self-motivated, open minded personality with strong learning interests and full passion on works.

Imagine yourself joining the leader of data center SQE team and being able to drive the change to the world with your vision and innovation. If you are creative and autonomous with a real passion for the work, we want to hear from you!

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Skills Required

  • BS or MS degree in mechanical, electrical, industrial or statistic engineering
  • 10+ years of engineering or quality experience in chip operations
  • Familiar with QMS and quality core tools
  • CoWoS or advanced package assembly and test process experience
  • Good communication skills in English
  • Experience or certificate in IATF16946, ISO9001 lead auditor, VDA6.3 auditor, CQE, CQT, CRE, Six Sigma/Lean

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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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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