Test Development Engineer - DataCenter System Software 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, Semiconductors, Data CenterIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience
5+ years of hands-on experience in test development, firmware development, automation, or software engineering
Strong experience with server firmware and corresponding test methodologies
Proven understanding of server hardware, BIOS/UEFI, BMC, and related firmware components
Strong firmware experience and reliability testing with various telemetries
Experience with AI coding tools (e.g., Cursor, Windsurf, GitHub Copilot) and integrating them with MCP to test workflows
Excellent problem-solving, communication, and collaboration skills
Passion for quality, automation, and innovation in a fast-paced, dynamic environment

Responsibilities

Design, develop, and maintain automated test frameworks and pipelines for server firmware and software
Implement and enhance end-to-end test automation to improve coverage, efficiency, and reliability
Collaborate closely with PM, development, tools, and AE teams to understand requirements and ensure comprehensive test coverage
Complete tests for server firmware and software to ensure high product quality and meet project schedules and customer needs
Support factory test processes to ensure firmware is robust enough for manufacturing
Analyze test results, debug failures, and provide actionable insights to improve product quality and reliability
Contribute to the continuous improvement of testing strategies, tools, and processes to drive innovation and quality
Work with AI tools to facilitate the automation process

Skills

Key technologies and capabilities for this role

Test AutomationFirmware DevelopmentServer HardwareBIOS/UEFIBMCReliability TestingTelemetryAutomated Test FrameworksCI/CD PipelinesAI Coding ToolsCursorGitHub CopilotPythonDebuggingQA Testing

Questions & Answers

Common questions about this position

What is the location for this Test Development Engineer role?

The position is based in Taipei, Taiwan.

What education and experience are required for this position?

A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience) and 5+ years of hands-on experience in test development, firmware development, automation, or software engineering are required.

What key technical skills are needed for this role?

Strong experience with server firmware and test methodologies, proven understanding of server hardware, BIOS/UEFI, BMC, and related firmware components, and experience with AI coding tools like Cursor, Windsurf, or GitHub Copilot are required.

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

The role involves working in a fast-paced, dynamic environment with a passion for quality, automation, and innovation, collaborating closely with PM, development, tools, and AE teams.

What makes a candidate stand out for this Test Development Engineer position?

Candidates stand out with a track record of driving automation initiatives, experience in multi-functional collaboration and global teams, strong communication of technical findings, and ability to apply AI/ML techniques to optimize test automation.

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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