Systems Validation Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Datacenter, SemiconductorsIndustries

Requirements

BSEE/BSCE or equivalent experience
3+ years of hands-on hardware/software debug experience
Strong ability to quickly learn new technologies and independently seek out information to solve complex hardware validation challenges
Strong capability to debug and root cause challenging system issues involving board-level failures, signal integrity, component-level problems, and firmware behavior
Lab experience with board bring-up, hardware debug, and use of tools like logic analyzers, oscilloscopes, and multimeters
Strong understanding of digital design, circuit design analysis, and computer architecture

Responsibilities

Develop and execute validation test plans for server platforms and modules
Perform electrical and functional validation of key interfaces and components, including power sensors, MCUs, I2C, SPI, SMBus, and PCIe
Diagnose and resolve system issues during NPI builds to ensure timely and successful product launches
Debug and root cause hardware, firmware, and interoperability issues
Collaborate closely with cross-functional teams to root cause and resolve hardware and software issues

Skills

Key technologies and capabilities for this role

I2CSPISMBusPCIeMCUspower sensorsvalidation testingelectrical validationfunctional validationdebuggingcircuit analysisautomationscriptinghardware debugfirmware debugroot cause analysis

Questions & Answers

Common questions about this position

What education and experience are required for the Systems Validation Engineer role?

A BSEE/BSCE or equivalent experience is required, along with 3+ years of hands-on hardware/software debug experience.

What key skills are needed for this position?

Candidates need strong debug and root cause skills for system issues, lab experience with tools like logic analyzers, oscilloscopes, and multimeters, plus understanding of digital design, circuit analysis, and computer architecture.

What is NVIDIA's company culture like?

NVIDIA has a diverse, fun, innovative, and dynamic culture centered on core values like innovation, excellence, determination, and team.

What makes a candidate stand out for this role?

Stand out with a solid grasp of low-level system architecture, digital circuit design, high-speed bus protocols like PCIe, USB, NVMe, and experience leading hands-on debugging across hardware and firmware layers.

Is this a remote position or does it require working in an office/lab?

This information is not specified in the job description.

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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