System Design Engineer at NVIDIA

Santa Clara, California, United States

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$160,000 – $304,750Compensation

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

Full TimeJob Type

UnknownVisa

Technology, Semiconductors, AI, AutomotiveIndustries

Requirements

B.S. or M.S. in Electrical Engineering or equivalent experience
5+ years of proven experience
Strong analytical skills, including PCB design and review experience
Experience with lab tools (oscilloscopes, multimeters, logic analyzers)
Strong knowledge of Linux and comfort working in various Linux environments and Windows OS’s
Strong verbal and written communication skills

Responsibilities

Build system hardware products around GPU & Tegra SoC
Collaborate with a cross-functional team to balance product cost, performance, and schedule, guided by system and product architects
Drive initial testing and bring-up, lead debug efforts
Create schematics, supervise PCB layout, and conduct system validation
Handle documentation required for product release to manufacturers and partners
Optimize/invent circuits and functions for improved performance and lower cost
Improve the design flow in collaboration with the infrastructure team

Skills

Key technologies and capabilities for this role

PCB DesignSchematicsSystem ValidationLinuxWindowsOscilloscopesMultimetersLogic AnalyzersGPUTegra SoCHardware Bring-upDebugging

Questions & Answers

Common questions about this position

What is the salary range for the System Design Engineer position?

The base salary range is $160,000 - $304,750 USD.

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

This information is not specified in the job description.

What skills are required for this System Design Engineer role?

Required skills include strong analytical skills with PCB design and review experience, experience with lab tools like oscilloscopes and logic analyzers, strong knowledge of Linux and Windows OS, and strong verbal and written communication skills.

What is the company culture like at NVIDIA?

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer that does not discriminate based on various protected characteristics.

What qualifications make a strong candidate for this role?

A strong candidate will have a B.S. or M.S. in Electrical Engineering or equivalent, plus 5+ years of proven experience.

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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