System Application Engineer, Enterprise (RDSS Intern) at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

Master's Degree in Communication Engineering / Electrical Engineering or related field
High-Speed Signal knowledge
Knowledge of signal measurement and Scope operations
Background with Server Architecture (familiarity with Linux is a plus)
Knowledge of Ethernet / Switch / InfiniBand is a plus
Flexibility in task assignments
Ways to stand out from the crowd
Strong oral & written communication skills (both English and Chinese)
Skills of Python/Perl
Self-motivated and aggressive to learn

Responsibilities

Focused on networking qualification, diag test and firmware update across Digits, MGX, HGX, and rack-scale ODM/JDM platforms
System-level tool development/debug from Networking product segment needed
Join partner design review through system architecture, schematics, and layout, thermal and validation plan
Work with partners for issue analysis and root cause
Drive with partner's design quality
Provide tech training to customers

Skills

Key technologies and capabilities for this role

High-Speed Signal IntegrityOscilloscopeSignal MeasurementServer ArchitectureLinuxEthernetInfiniBandSwitchPythonPerlFirmware Update

Questions & Answers

Common questions about this position

What education is required for this System Application Engineer role?

A Master's Degree in Communication Engineering, Electrical Engineering, or a related field is required.

What are the key skills needed for this position?

Candidates need high-speed signal knowledge, experience with signal measurement and scope operations, and background in server architecture; familiarity with Linux, Ethernet, Switch, or InfiniBand is a plus.

What does NVIDIA offer in terms of compensation and benefits?

NVIDIA offers competitive salaries and a generous benefits package.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Strong oral and written communication skills in English and Chinese, skills in Python or Perl, self-motivation, and an aggressive drive to learn will help candidates 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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