At NVIDIA, our innovation knows no bounds. Our team is at the forefront of groundbreaking technologies, and we are looking for an exceptionally dedicated Test Development Engineer to join us in Taipei, Taiwan. If you are passionate about automation, quality, and innovation, this could be the perfect opportunity for you!
What You’ll Be Doing:
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 (MODs and Diag) 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 faciliate the automation process.
What We Need to See:
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.
Familiar with server board manufacturing process from PCB, SMT, ICT to L6/L10/L11.
Experience with AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot, Antigravity) 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.
Ways to Stand Out from the Crowd:
Track record of driving automation initiatives or process improvements within a technical team.
Ability to communicate technical findings and recommendations clearly to both technical and non-technical collaborators.
Experience with multi-functional collaboration and working in distributed or global teams.
Demonstrated ability to apply AI/ML techniques to optimize or innovate test automation workflows and improve testing efficiency.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 5+ years of hands-on experience in test development, firmware development, automation, or software engineering
- Strong experience with server firmware and corresponding test methodologies
- Understanding of server hardware, BIOS/UEFI, and BMC
- Familiarity with server board manufacturing process from PCB to L11
- Experience with AI coding tools and integrating them with testing workflows
- Excellent problem-solving and communication skills
- Passion for quality, automation, and innovation
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
