System Application Engineer - Desktop and Client at NVIDIA

Taipei, Taiwan

NVIDIA Logo
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

ARM System Architecture
SOC
GPU Design
High-speed Signal Design
Motherboard Design
Laptop Design
PC Design
Server Design
Circuit Design

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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