Description
We are seeking an exceptionally dedicated Test Development Engineer to join our team in Taipei, Taiwan. As a Test Development Engineer, you will design, develop, and maintain automated test frameworks and pipelines for server firmware and software.
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.
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.
- 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.
Nice to Have:
- 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.