System Design Validation Engineer at NVIDIA

Taipei, Taiwan

NVIDIA Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductor, Data Center, AI, AutomotiveIndustries

Requirements

  • Bachelor/Master in EE, computer science, or relative majors
  • Proficient with Linux system and GPU setup
  • Capable of writing simple shell scripts and analyzing test results using commands
  • Familiar with PC and Datacenter system hardware assembly, MB BIOS upgrade, and network troubleshooting
  • Proficient with a programming language (C/C++, Python, Java, or Perl)
  • Understand UEFI boot OS startup process and out-of-band (OOB) management using BMC, ipmitool, and redfish
  • Good English communication skills
  • 3 years’ experience or above

Responsibilities

  • Server/Motherboard/Mobile system functionality test
  • Clock/Sequency/GPIO signal measurement and verification
  • WAT (wide area test) function test
  • Gaming test
  • High/Low speed interface SI test
  • Co-work with hardware design engineers on debug and FA
  • Co-work with mechanical/thermal engineers for cooler/heatsink design

Skills

Key technologies and capabilities for this role

LinuxGPUShell ScriptingC/C++PythonJavaPerlUEFIBMCipmitoolRedfishBIOSHardware AssemblyNetwork TroubleshootingSignal Integrity Test

Questions & Answers

Common questions about this position

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

A Bachelor or Master’s degree in EE, computer science, or related majors is required, along with 3 years’ experience or above.

What are the key technical skills needed for this position?

Proficiency with Linux system and GPU setup, writing simple shell scripts, familiarity with PC and Datacenter hardware assembly, BIOS upgrade, network troubleshooting, and proficiency in a programming language like C/C++, Python, Java, or Perl are required.

Where is this job located?

The position is located in Taipei.

What qualities make a candidate stand out for this role?

Experience measuring DC-DC power solutions, a proactive personality, good team player skills, strong creativity, and quick thinking will help you stand out.

What is the salary or compensation for this position?

This information is not specified in the job description.

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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