System Design Validation 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

Semiconductors, Automotive, Robotics, Consumer ElectronicsIndustries

Requirements

BS/EE (or equivalent experience)
5+ years of related experience
Understanding of power supply, high-speed I/O, display, PCI express, Ethernet, and various low-speed I/O (I2C, GPIO, etc.)
Good understanding of high-speed signaling principles and concepts related to design
Multi-phase switching power supply validation experience (a strong plus)
Hands-on experience with lab equipment (oscilloscopes, BERT, power supplies, logic analyzers)
Exposure to various programming and scripting languages (C/C++, Java Script, Linux)
Background with Embedded or PC system troubleshooting & bringup (useful)
Ability to work on multiple projects simultaneously
Strong debugging skills
Ability to analyze sophisticated problems and break them down based on first principles
Good teamwork and cross-disciplinary partnership skills

Responsibilities

Debug and validate NVIDIA products at the system/board level
Perform signal electrical testing and functional checks
Build debug reports
Collaborate with various engineering teams (design, software, program management, etc.)
Develop and implement new validation procedures
Define diagnostics for engineering and production builds

Skills

Key technologies and capabilities for this role

Power SupplyHigh-Speed I/OPCI ExpressEthernetI2CGPIOOscilloscopesBERTLogic AnalyzersC/C++JavaScriptLinuxEmbedded SystemsSystem DebuggingSignal Integrity

Questions & Answers

Common questions about this position

What experience level is required for this System Design Validation Engineer role?

The position requires 5+ years of related experience along with a BS/EE or equivalent.

What key technical skills are needed for this position?

Candidates need understanding of power supply, high-speed I/O, display, PCI express, Ethernet, and low-speed I/O; hands-on experience with lab equipment like oscilloscopes and logic analyzers; and exposure to programming languages such as C/C++, JavaScript, and Linux.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this NVIDIA engineering role?

Strong candidates will have multi-phase switching power supply validation experience, background in embedded or PC system troubleshooting, strong debugging skills, ability to analyze complex problems using first principles, and excellent teamwork 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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