System Application Engineer - Desktop and Client at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Semiconductors, AIIndustries

Requirements

Excellent skills in ARM System Architecture for SOC system solutions
Solid understanding in system design concept and GPU design
Master degree in Electrical Engineering, Computer Science, a related field, or equivalent practical experience
5+ years of experience in hardware or circuit design
Laptop or PC or server design work experience
High-speed signal design and strong knowledge of consumer or server system architecture (experience with motherboard design, laptops, and ARM-based systems is a strong plus)
Experience with high-speed design, signal integrity, and power distribution techniques
Excellent communication skills, flexibility in task assignments, innovative, independent, results-oriented problem solver
Willingness to travel overseas if needed
Flexible to work on different NVIDIA system level products as required
Ways to stand out
Strong oral & written communication skills (both English and Chinese)
Development experience in desktop/client product or ARM based SOC system
Self-motivated and aggressive to learn
Can work under high pressure and dynamic environments

Responsibilities

Develop and implement Desktop/Client AI product with GPU design and provide technical support during development, testing and production
System-level tool development/debug from the product segment needed
Drive partner design review through system architecture, schematics, layout, thermal, mechanical and validation plan
Coordinate with multiple engineer teams to perform partners design on GPU or NV-required products in design cycle till production
Work with partners for issue analysis, root cause and drive partner's design quality
Provide tech training to partners

Skills

Key technologies and capabilities for this role

ARM System ArchitectureSOCGPU DesignHigh-speed Signal DesignMotherboard DesignLaptop DesignPC DesignServer DesignCircuit Design

Questions & Answers

Common questions about this position

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

A Master's degree in Electrical Engineering, Computer Science, or a related field (or equivalent experience) is required, along with 5+ years of experience in hardware or circuit design, including laptop, PC, or server design.

Is remote work an option for this position at NVIDIA?

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 skills will help me stand out as a candidate?

Strong oral and written communication skills in English and Chinese, development experience in desktop/client products or ARM-based SOC systems, self-motivation, and the ability to work under high pressure and in dynamic environments will make you stand out.

What is the work environment like at NVIDIA?

NVIDIA features forward-thinking and hardworking people, elite engineering teams that are growing fast due to unprecedented growth, and seeks creative, autonomous, practical engineers passionate about technology.

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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