Manager, Product Quality Engineering at NVIDIA

Hsinchu City, Hsinchu City, Taiwan

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, DatacenterIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

Failure AnalysisRoot Cause AnalysisData AnalysisQuality MetricsSemiconductorDatacenterElectronic EngineeringChip AnalysisBoard AnalysisSystem Failure AnalysisLeadershipQuality Management

Questions & Answers

Common questions about this position

What is the location for this Product Quality Engineering Manager role?

The role is based in the Taiwan Product Quality Engineering Lab.

What compensation and benefits does NVIDIA offer?

NVIDIA offers competitive salaries and a generous benefits package.

What are the key required skills and experience for this position?

Candidates need a Bachelor or Master’s degree in electronic engineering or related fields, 10+ years in Semiconductor or Datacenter industry, 8+ years at management level, expertise in failure analysis of electronic products, data analysis skills, strong quality mindset, problem-solving, leadership, people skills, and communication in English and Mandarin.

What is the company culture like at NVIDIA?

NVIDIA has some of the most brilliant and talented people, values creative, autonomous individuals who love a challenge, and is an equal opportunity employer that values diversity.

What makes a candidate stand out for this role?

Candidates can stand out with good knowledge of product infrastructure and test methodology, great background in Hoshin/SWOT process, and strong technical/debug skills in Data Center products.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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