Senior System Test Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Semiconductor, DatacenterIndustries

Requirements

5+ years of experience with post-silicon validation experience in Board or System products
BS Degree or equivalent experience
Experience working with manufacturing test programs at platform level
Experience with Datacenter Platforms
Background with Python programming and bash scripting
Excellent problem-solving skills, attention to detail, and effective communication skills

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
Travel to Manufacturing Partners' sites in the US and Internationally, to provide on-site support for builds and factory operations as necessary

Skills

Key technologies and capabilities for this role

PythonBash ScriptingPost-Silicon ValidationManufacturing TestDatacenter PlatformsDFTTest AutomationHardware DebuggingTest FixturesDiagnostic Software

Questions & Answers

Common questions about this position

What is the salary range for this Senior System Test Engineer position?

The base salary range is 128,000 USD - 201,250 USD for Level 3, and 152,000 USD - 247,250 USD for Level 4, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this a remote position, or is travel required?

This information is not specified in the job description regarding remote or office requirements, but travel to Manufacturing Partners' sites in the US and Internationally is necessary to provide on-site support for builds and factory operations.

What skills and experience are required for this role?

Candidates need 5+ years of post-silicon validation experience in Board or System products, a BS Degree or equivalent, experience with manufacturing test programs at platform level, Datacenter Platforms background, Python programming, bash scripting, and excellent problem-solving, attention to detail, and communication skills.

What is the company culture like at NVIDIA?

NVIDIA is a 'learning machine' that constantly evolves by adapting to new opportunities, fostering a diverse work environment as an equal opportunity employer, with competitive salaries and generous benefits, and values creative and autonomous engineers passionate about technology.

What makes a candidate stand out for this position?

Experience with rack and cluster level test, test methodology and strategy will help you stand out. NVIDIA seeks creative and autonomous engineers with a real passion for technology.

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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