System Test Engineer Lead 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

Technology, SemiconductorIndustries

Requirements

8+ years of experience with post-silicon validation experience in Board or System products
BS Degree in engineering or equivalent experience
Experience working with manufacturing test programs at platform level
Experience with Datacenter Platforms
Background with Python programming and bash scripting
Experience in team leadership and coordination
Excellent problem-solving skills, attention to detail, and effective communication skills
Experience with rack and cluster level test, test methodology and strategy (plus)

Responsibilities

Define and implement manufacturing test solutions for Datacenter System products
Investigate and introduce new manufacturing test technology and methodology to improve production efficiency
Develop test strategy for new product features including identification, specification, design and qualification of test fixtures, test equipment and diagnostic software
Review and provide feedback for DFT in the early design stages
Debug complex hardware and software issues during build phases
Contribute to automated diagnostic generation and validation infrastructure
Coordinate the efforts of additional team members

Skills

Key technologies and capabilities for this role

PythonBashPost-Silicon ValidationManufacturing TestDatacenter PlatformsDFTTest AutomationHardware DebugSoftware DebugTeam Leadership

Questions & Answers

Common questions about this position

What experience level is required for the System Test Engineer Lead role?

The role requires 8+ years of experience with post-silicon validation in Board or System products.

What are the key skills needed for this position?

Key skills include experience with manufacturing test programs at platform level, Datacenter Platforms, Python programming and bash scripting, team leadership, and excellent problem-solving, attention to detail, and communication skills.

What is the work arrangement or location policy for this job?

The position is hybrid.

What compensation and benefits does NVIDIA offer?

NVIDIA offers competitive salaries and a generous benefits package.

What kind of candidate is NVIDIA looking for?

NVIDIA seeks creative, autonomous individuals who love a challenge, along with a BS Degree in engineering or equivalent experience, and strong technical and leadership skills.

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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