Nvidia Test Development Engineer - DataCenter System Software 

Taiwan, Taipei 

431704696

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.

• 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.

• 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.