Engineering Lab Technician at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, HardwareIndustries

Requirements

BS or Vocational school degree in EE/CE or equivalent
3 to 5 years of experience in PC, graphics cards, embedded systems, or related industries
Proficiency with desktop motherboards, graphics cards, and embedded systems
Basic English communication skills, including reading and writing emails
Expertise in electronic component and chip soldering, as well as GPU ball planting/repair
Skilled in using Office software and familiar with Windows and Linux
A proactive and can-do attitude

Responsibilities

Repairing a variety of products including graphics cards, automobiles, and servers
Managing daily GPU disassembly, ball planting, and repair tasks
Defining and maintaining the lab's requirements to ensure it remains well-organized
Procuring necessary laboratory equipment
Maintaining hardware inventory for all lab equipment
Assisting engineers with system tests, board rework, and chip attachment
Debugging test boards and identifying the root causes of frequent failures, and implementing fixes
Managing the logistics and shipment of chips, boards, and devices

Skills

Key technologies and capabilities for this role

solderingGPU repairball plantingchip attachmentboard reworkdebuggingsystem testinghardware inventoryembedded systemsgraphics cardsdesktop motherboardsWindowsMicrosoft Office

Questions & Answers

Common questions about this position

What education and experience are required for the Engineering Lab Technician role?

A BS or Vocational school degree in EE/CE or equivalent is required, along with 3 to 5 years of experience in PC, graphics cards, embedded systems, or related industries.

What technical skills are needed for this position?

Proficiency with desktop motherboards, graphics cards, and embedded systems is required, along with expertise in electronic component and chip soldering, GPU ball planting/repair, and skills in using Office software with familiarity in Windows and Linux.

Where is this Engineering Lab Technician position located?

The role is at the NVIDIA Taiwan Research and Development Center.

What is the work environment like at NVIDIA for this role?

It's a collaborative and inclusive environment with a dynamic team that values innovation, teamwork, and inclusivity, where contributions can make a significant impact.

What makes a strong candidate for this Engineering Lab Technician position?

Candidates with a proactive and can-do attitude, basic English communication skills, and hands-on experience in repairing graphics cards, servers, and embedded systems will stand out.

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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