Senior System Design Engineer at NVIDIA

Shenzhen, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AI, Automotive, Robotics, Consumer ElectronicsIndustries

Requirements

B.S or M.S. in Electrical Engineering or equivalent experience
10+ 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 AnalyzersLinuxWindows OSSystem DesignCircuit OptimizationGPU SystemsTegra

Questions & Answers

Common questions about this position

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

A B.S. or M.S. in Electrical Engineering or equivalent experience is required, along with 10+ years of proven board design experience.

What key skills are needed for this position?

Candidates need strong analytical skills with experience in PCB design and review, proficiency using lab tools like oscilloscopes, multimeters, and logic analyzers, comfort working in Linux and Windows environments, and strong verbal and written skills.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What kind of company culture does NVIDIA offer?

NVIDIA is widely considered one of the technology world’s most desirable employers with forward-thinking and hardworking people; they seek creative and autonomous individuals.

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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