System Design Engineer at NVIDIA

Shenzhen, China

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Automotive, Robotics, Consumer ElectronicsIndustries

Requirements

B.S in Electrical Engineering or equivalent experience
3+ years of proven board design experience
Strong analytical skills including past experience in PCB design and review
Experience with using lab tools such as oscilloscopes, multimeters, and logic analyzers
Comfortable working in various Linux environments as well as with Windows OS’s
Strong verbal and written skills

Responsibilities

Review board designs and collaborate with other design engineers on product solutions
Collaborate with cross-functional teams to pursue the balance of product cost, performance, and schedule under the guidance of system architects and product architects
Participate in the documentation required to release the product to manufacturers and partners
Optimize/invent circuits, functions for better performance, and lower cost
Improve the design flow together with the infrastructure team

Skills

Key technologies and capabilities for this role

PCB designBoard designOscilloscopesMultimetersLogic analyzersLinuxWindowsGPUTegraCircuit optimization

Questions & Answers

Common questions about this position

What education and experience are required for the System Design Engineer role?

A B.S. in Electrical Engineering or equivalent experience is required, along with 3+ years of proven board design experience, strong analytical skills in PCB design and review, and experience with lab tools like oscilloscopes, multimeters, and logic analyzers.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What is the company culture like at NVIDIA?

NVIDIA is a learning machine that constantly evolves, with forward-thinking and hardworking people. They seek creative and autonomous individuals to amplify human creativity and intelligence.

What makes a strong candidate for this System Design Engineer position?

Strong candidates will have a B.S. in Electrical Engineering, 3+ years of board design experience, PCB design skills, lab tool proficiency, comfort with Linux and Windows, and strong verbal and written communication 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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