Enterprise System Application Engineer at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

Master's Degree or equivalent experience in Computer Science/Computer Engineering/Electrical Engineering or related field
5+ years of enterprise GPU server or Rack design work experience
High-Speed Signal design/Strong knowledge of GPU Server System Architecture includes X86 and ARM-based
Familiar with Linux
Good concept of thermal and mechanical design
Skills of ARM/X86 GPU Server System Architecture are a strong plus
Knowledge of the PCIe architecture with AER (Advanced Error Reporting)
Excellent communication skills, flexibility in task assignments, and working under high pressure
Strong communications skills in English, Innovative, Independent, results-oriented problem solver
Ways to stand out
Strong oral & written communication skill (both English and Chinese)
Development experiences in datacenter design or server product
Self-motivated and aggressive to learn

Responsibilities

System-level tool development/debug from the product segment needed
Join the 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
Overseas travel will be required if needed
Factory support will be required if needed

Skills

Key technologies and capabilities for this role

ARMx86GPULinuxPCIeAERHigh-Speed Signal DesignThermal DesignMechanical DesignSystem ArchitectureSchematicsLayout

Questions & Answers

Common questions about this position

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

A Master's Degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or related field is required, along with 5+ years of enterprise GPU server or Rack design work experience.

What key technical skills are needed for this position?

Candidates need high-speed signal design, strong knowledge of GPU Server System Architecture for X86 and ARM-based systems, familiarity with Linux, good concepts of thermal and mechanical design, and knowledge of PCIe architecture with AER.

Is remote work an option, or is travel required?

Overseas travel will be required if needed, and factory support will be required if needed, indicating on-site and travel commitments.

What soft skills are essential for this role at NVIDIA?

Excellent communication skills in English, flexibility in task assignments, ability to work under high pressure, and being innovative, independent, and results-oriented are essential.

How can I stand out as a candidate for this Enterprise System Application Engineer position?

Stand out with strong oral and written communication skills in both English and Chinese, development experience in datacenter design or server products, and being self-motivated and aggressive to learn.

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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