System Design Validation Engineer - Signal at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Data Center, Graphics, Autonomous DrivingIndustries

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

LinuxShell ScriptingPythonC++UEFIBMCipmitoolredfishBIOSGPUHardware AssemblyNetwork TroubleshootingSignal IntegrityGPIODC-DC Power

Questions & Answers

Common questions about this position

What experience level is required for this role?

The position requires 3 years’ experience or above.

What are the key skills needed for this Design Validation Engineer position?

Key skills include proficiency with Linux system and GPU setup, capability in writing simple shell scripts and analyzing test results, familiarity with PC and Datacenter hardware assembly, BIOS upgrade, and network troubleshooting, proficiency in a programming language like C/C++, Python, Java, or Perl, and understanding of UEFI boot process and OOB management.

Where is this job located?

The position is located in Taipei.

What qualities help candidates stand out?

Candidates stand out with experience in measuring DC-DC power solution, a proactive personality, good team player skills, strong desire for creativity, and quick thinking.

What is the employment type for this role?

This is a full-time position.

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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