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 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.
- 2+ 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.
- 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.
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.
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