System Engineer, Enterprise (RDSS Intern) at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

InternshipExperience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

Master’s degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field
Understanding of electronic circuit theory, computer architecture, or hardware soldering skills from electrical engineering laboratory or projects
Good problem-solving skills with a desire to learn system-level design and analysis techniques
Strong communication and teamwork abilities
Proficient in English (written and spoken)

Responsibilities

Assist senior engineers in designing and developing GPU server hardware and systems
Actively learn and practice debugging skills, leveraging hands-on training and support from experienced team members to develop strong troubleshooting and root cause analysis skills
Support validation and testing of newly developed designs, including board bring-up and troubleshooting
Assist in debug test configurations and support failure analysis under guidance from senior engineers (e.g., manufacturing defects, yield issues, bonepile recovery)
Document design processes, results, and lessons learned to support continuous improvement

Skills

Key technologies and capabilities for this role

GPU serverssystem integrationhardware designboard bring-updebuggingtroubleshootinghardware solderingPCB designcomputer architecturefailure analysisroot cause analysis

Questions & Answers

Common questions about this position

What education is required for this System Engineer position?

A Master’s degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field is required.

What are the key skills needed for this role?

Candidates need understanding of electronic circuit theory, computer architecture, or hardware soldering skills, good problem-solving skills, strong communication and teamwork abilities, and proficiency in English.

What is the compensation like for this position?

NVIDIA offers competitive salaries and a generous benefits package.

What is the company culture like at NVIDIA?

NVIDIA values creative, autonomous individuals who love a challenge, has brilliant and talented people, emphasizes teamwork across functions, and promotes diversity as an equal opportunity employer.

How can I stand out as a candidate for this role?

Highlight academic projects or internships in hardware, PCB design, or system integration, familiarity with CAD tools like Altium or Cadence, knowledge of GPU/server architecture, power delivery, signal integrity, thermal design, or FMEA/RCA/DOE, and strong teamwork skills.

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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