Senior Product Quality Engineer at NVIDIA

Shenzhen, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Driving, High Performance Computing, Artificial Intelligence, Computer GamingIndustries

Requirements

B.Eng. degree or above (Electronics / Computer Engineering related) or equivalent experience
5+ years of experience in Product Engineering, Application Engineering / Test field
Familiar with GPU architecture and technology
Experienced in board and system level failure analysis and debug
Familiar with system level test
Experienced in test equipment bring up
Verbal and written communication skills in English and Mandarin
Excellent problem-solving skills

Responsibilities

Handling customer complaints
Performing hand-on failure analysis on system and board product
Summarizing findings from analysis and working with cross-functional teams to drive for root cause and corrective actions
Utilizing data analysis tools for compiling ad-hoc or regular reports on product quality

Skills

Key technologies and capabilities for this role

GPU architecturefailure analysisboard level debugsystem level testtest equipment bring updata analysisPCBA manufacturingfunctional testingcustomer complaint handlingEnglishMandarin

Questions & Answers

Common questions about this position

Is this position remote or office-based?

The position is based in the Shenzhen office.

What are the required qualifications and experience for this role?

Candidates need a B.Eng. degree or above in Electronics/Computer Engineering or equivalent, 5+ years in Product Engineering, Application Engineering/Test field, familiarity with GPU architecture, experience in board/system failure analysis and debug, system level test, test equipment bring up, plus English/Mandarin communication and problem-solving skills.

What does the role involve on a daily basis?

The role includes handling customer complaints, performing hands-on failure analysis on system and board products, summarizing findings and collaborating with cross-functional teams for root cause and corrective actions, and using data analysis tools for quality reports.

What salary or compensation is offered for this position?

This information is not specified in the job description.

What skills make a candidate stand out for this Senior Product Quality Engineer role?

Stand out with knowledge of Board FA, good knowledge of GPU/CPU product infrastructure and test methodology, and strong technical/debug skills in test equipment and test program troubleshooting.

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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