Test Development Engineer - Server Multi-Node Virtualization at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, HPC, Datacenters, AIIndustries

Requirements

Experience in using AI development tools for test plans creation, test cases development and test cases automation
5+ years of hands-on experience in test development, software development, automation, or software engineering
Strong OS (Ubuntu, RedHat, CentOS, SuSE, Fedora, Windows, etc.) trouble-shooting and debugging experience in a bare-metal and KVM/VMWare environment
Ability to write test plans focusing on functional, performance, stress and negative testing
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience

Responsibilities

Responsible for the development and execution of NVIDIA HGX/DGX platform test plan on OS, FW and CUDA SW stack from design doc
Installing and testing various systems OS, system firmware and software stack including Windows & Linux
Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation
Leverage AI (Language Model) skills to build automation front-end and back-end framework which could interaction with human
Review partner and supplier test results and prescribe additional reliability testing on components, systems, and packaging as needed

Skills

Key technologies and capabilities for this role

AI development toolstest automationUbuntuRedHatCentOSSuSEFedoraWindowsLinuxsystem firmwareCUDACI/CDDevOpsroot cause analysistest plan developmentHGXDGX

Questions & Answers

Common questions about this position

What experience level is required for this Test Development Engineer role?

The role requires 5+ years of hands-on experience in test development, software development, automation, or software engineering.

What are the key skills needed for this position?

Candidates need strong OS troubleshooting and debugging experience in bare-metal and KVM/VMWare environments across Linux distributions and Windows, ability to write test plans for functional, performance, stress, and negative testing, and experience using AI development tools for test plans, cases, and automation.

What education is required for this job?

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

What is the work arrangement or location policy for this role?

This information is not specified in the job description.

What salary or compensation does this position offer?

This information is not specified in the job description.

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

Stand out with experience working with NVIDIA GPU hardware and rack level operations, implementing error handling for x86/ARM servers, health monitoring tools, developing x86/ARM environments, and background in parallel programming like CUDA/OpenCL, plus strong experience in FW, BMC/OpenBMC, SBIOS, network protocols, enterprise storage, and Redfish.

What is the company culture like at NVIDIA for this team?

NVIDIA seeks dedicated, forward-thinking, hard-working technical people who thrive in a diverse work environment with outstanding interpersonal skills and a strong sense of engagement and continuous process improvement.

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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