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Nvidia Test Development Engineer - DataCenter System Software 
Taiwan, Taipei 
82195950

02.07.2025
Taiwan, Taipei
time type
Full time
posted on
Posted 18 Days Ago
job requisition id

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.

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.

  • Proficiency in crafting and implementing automated test frameworks and CI/CD pipelines using tools like Python, Java, Jenkins, and Robot Framework.

  • 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 into 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.