Principal Manufacturing Test Engineer

What You Will Do

• Lead or contribute to transformation initiatives, helping set new standards for how ZT approaches manufacturing risk analysis, quality, and continuous improvement.
• Define and implement new systems, processes, or frameworks that support the smart factory vision, including automation, metrology, advanced inspection and testing, and predictive analytics.
• Collaborate across design, quality, manufacturing, test, and supplier engineering to drive solutions that integrate seamlessly into production.
• Leverage deep, data‑rich environments and tools to generate insights; drive continuous improvement to yield, reliability, and throughput using root‑cause analysis and TTF (Time to Failure) insights.
• Apply advanced statistical and analytical methods to identify, quantify, and control risk in complex manufacturing environments.
• Translate DFM and PFMEA outputs into actionable process controls, ensuring proactive prevention of variation rather than reactive correction.
• Develop and execute comprehensive test strategies for all levels of hyperscale product assembly: module, server, rack, and cluster.
• Create and lead the development and execution of cluster‑level validation testing.
• Define and implement Best‑in‑Class manufacturing test practices and create a clear roadmap to achieve them.
• Nurture outside‑the‑box thinking and create a risk‑taking culture to enable the creation of leading‑edge test processes and utilities.
• Serve as SME for understanding customer product design, along with test and infrastructure requirements.
• Create and own the Design‑for‑Test (DFT) strategy across all products.
• Coach and nurture global test stakeholders to maximize their potential and facilitate a culture of learning and growth.
• Design and oversee the deployment of high‑reliability factory test infrastructure and test stations (manual, automated, and semi‑automated).
• Specify and manage Test Management and Execution Software to coordinate diagnostics, test workflows, and reporting.
• Specify, develop, and maintain Test Executive test automation software for module and system‑level testing.
• Lead the integration of customer test requirements, software, and infrastructure into factory systems.
• Create and maintain comprehensive test plans and test coverage reports.
• Drive the adoption of industry‑standard and open‑source test tools.
• Create industry leading low‑level tests, utilities, and diagnostics at the module and board‑level.
• Champion automation across test stages to improve cycle time, test coverage, and yield.
• Develop and optimize Server‑ and Rack‑Level Tests including:
  • Assembly line verification (including supplementation with automated inspection tools)
  • BOM & Configuration Validation
  • Firmware Updates (in‑band, out‑of‑band, fixture‑based)
  • System Stress Testing and Burn‑In
  • Integration of customer supplied test
• Optimize test cycle times through TTF analysis and strategic quality sampling.
• Lead Root Cause Analysis (RCA) and implementation of corrective actions.

• Advanced degree in Engineering, Computer Science, Data Science, or a related field.
• 10–15 years of experience in high‑volume, high‑complexity manufacturing, with at least 5 years in leadership or transformation roles.
• Deep knowledge of hyperscale system architecture, including Intel‑based architecture, hardware management (BMC, SMC, etc.), storage, memory, GPU, networking, liquid cooling systems, and factory network infrastructure design.
• Experience across the hardware stack: hardware BIOS/FW Driver OS Application.
• Expertise in test development at multiple levels: board, module, server, rack, cluster.
• Strong background in diagnostics, fault isolation tools, and root‑cause methodologies.
• Proven experience designing and maintaining high‑volume production test stations.
• Demonstrated expertise in statistical and analytical methods such as regression analysis, correlation analysis, DOE, SPC, PFMEA, Gauge R&R, and commonality studies using software tools such as Minitab, JMP, etc.
• Proficiency with data‑driven tools such as Minitab, JMP, Python, R, SQL (or equivalent) to analyze and interpret large, complex datasets.
• Track record of driving measurable improvements in yield, reliability,…