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Senior Manufacturing Test Engineer

Microsoft· Manufacturing Test Engineering
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Taiwan - New Taipei CityFull-timePosted 1mo ago

About the role

Microsoft SCHIE team focuses on hardware manufacturing, test strategies, and data-driven quality improvements for cloud hardware. The Senior Manufacturing Test Engineer owns test solutions from NPI through production, collaborating across design, validation, manufacturing, and suppliers to improve yield, throughput, and cost for Microsoft’s cloud infrastructure hardware.

Responsibilities

  • Develop manufacturing test hardware, software, firmware, and automation solutions to validate product and system-level functionality.
  • Define and implement robust, scalable, reusable, and adaptable test strategies covering new product introduction, mass production, repair, and sustaining operations.
  • Analyze manufacturing yield, test results, and failure trends to identify systemic hardware, software, firmware, and process issues; lead root-cause analysis and corrective actions.
  • Define test coverage, test flows, equipment requirements, specifications, and acceptance criteria to prevent manufacturing escapes and meet product quality goals.
  • Improve test cycle time, throughput, capacity, reliability, and cost through process simplification, automation, statistical analysis, and data-driven optimization.
  • Develop and monitor key performance indicators for test-system health, product quality, manufacturing yield, and operational performance.
  • Support factory deployment, qualification, readiness assessment, configuration management, bill of materials, and engineering change processes for manufacturing test systems.
  • Partner with design, validation, NPI, manufacturing, sourcing, and supplier teams to assess technical risks, resolve production issues, and ensure continuity of supply.
  • Develop and maintain test requirements, technical specifications, operating procedures, troubleshooting guides, and other manufacturing documentation.
  • Incorporate security, sustainability, serviceability, and reliability principles throughout the test-system lifecycle.
  • Evaluate and apply AI and machine-learning capabilities to improve test coverage, failure prediction, anomaly detection, and manufacturing intelligence.
  • Communicate technical findings, project status, risks, schedules, and recommendations clearly to engineering teams and business stakeholders.

Qualifications

  • Doctorate in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or related field; or Master’s degree with 3+ years of relevant experience; or Bachelor’s degree with 4+ years of relevant experience; or equivalent experience.
  • Experience developing or deploying manufacturing test solutions for complex electronic, computing, server, networking, storage, or electromechanical products.
  • Experience with system-level debugging, failure analysis, root-cause analysis, and corrective-action processes.
  • Programming or scripting experience using Python, C#, C++, Java, or equivalent.
  • Experience analyzing manufacturing or test data using statistical methods and translating findings into engineering actions.
  • Demonstrated ability to independently drive technical projects and collaborate across engineering disciplines, suppliers, and manufacturing sites.
  • Effective written and verbal communication skills in English.

Skills

Required:Manufacturing test solution developmentTest strategy designData analysis and root-cause analysisTest coverage and acceptance criteriaProcess optimization and automationTest-system KPIsDocumentationSecurity and reliability principles
Nice to have:AI/ML for manufacturing
Last updated Sep 10, 2026. Interested? Apply on the company site.

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