Manager, Product Quality Engineering

NVIDIA is hiring a Manager, Product Quality Engineering. Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
The posting mentions failure analysis, quality engineering and team management among its tools and skills.
Level classes it as a lead role.
NVIDIA has 1,800+ other open roles on Level.

AI in this role

Lead a team of product quality engineers focusing on chip and system failure analysis and quality improvements.

failure-analysisquality-engineeringteam-managementdata-analysissemiconductors

We are looking for a Product Quality Engineering Manager in Taiwan Product Quality Engineering Lab. This is a role focusing more on engineering aspects. You will be responsible for leading and mentoring a team of product quality engineers focusing on in-depth chip, board and system failure analysis on customer quality complaints. You will also be tracking quality metrics. Moreover, you will work closely with various engineering teams to drive for product quality improvements. Your strong management experience, technical background, quality mindset and excellent communication skills are essential as you will be leading NVIDIA product quality improvement initiatives and programs. 

What you’ll be doing:

Manage the Product Quality Engineering team focusing on failure analysis.
Provide guidance, feedback and coaching to the staffs on quality process and best practices.
Coordinate with internal and external engineering team to root cause customer quality issues.
Determine the corrective and preventative actions and ensure the effectiveness of these actions.
Define and implement quality standards, metrics, processes, and tools for NVIDIA products.
Monitor product quality performance and report Quality Metrics.
Collaborate with engineering team to develop new failure analysis tools and methodology.
Support continuous improvement activities and fulfill internal quality requirements and audits.

What we need to see:

Bachelor or master’s degree in electronic engineering or related fields.
10+ overall years of experience in Semi-conductor or Datacenter industry.
8+ years of experience at management level.
Failure analysis expert in electronic products with strong knowledge of failure analysis tools, techniques, and methodologies.
Data analysis expert who understands chip parametric and reliability requirements.
Excellent quality mindset and problem-solving skills.
Strong leadership skills and people skills.
Verbal and written communication skills in English and Mandarin.

Ways to stand out from the crowd:

Good knowledge of product infrastructure and test methodology
Great background of Hoshin/SWOT process.
Strong technical/debug skills in Data Center products.

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.

How we rate this

Manager, Product Quality Engineering at NVIDIA rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Manager, Product Quality Engineering is an open job at NVIDIA.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Taiwan, Hsinchu.
The job was posted on May 30, 2026.
Seniority: lead.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Failure AnalysisQuality EngineeringTeam ManagementData AnalysisSemiconductors

Questions you could be asked

Tell me about a project where failure analysis was part of your work. What did you do?
Tell me about a project where quality engineering was part of your work. What did you do?
Tell me about a project where team management was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where semiconductors was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Failure Analysis, Quality Engineering, Team Management, Data Analysis, and Semiconductors. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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