Principal Manufacturing Test Engineer

About the role

ZT Systems is entering a new chapter of growth fueled by the next generation of hyperscale AI systems. These rack-scale, liquid-cooled, and highly interconnected architectures demand smart factories with integrated human-machine interfaces and deep, data-rich environments that deliver both reliability and innovation. We are seeking technical leaders with a quality mindset across multiple engineering disciplines to help shape this future - combining our culture of execution with new strengths in metrology, mechatronics, and test architecture to build advanced automation, predictive analytics, and AI-enabled processes that redefine how customer experience is delivered.

Responsibilities

• 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 Strategy 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. Act as a thought partner and subject matter expert to refine ideas, generate hypotheses, and analyze data to formulate solutions.
• 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.
• What You Bring
• This critical leadership role requires deep technical expertise across hardware, firmware, and software domains and the ability to drive innovation, reliability, and efficiency in high-volume manufacturing environments.
• 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 (not necessarily people management).
• Deep knowledge of hyperscale system architecture, including:
• Intel based architecture
• Hardware management (BMC, SMC, etc.)
• Storage, memory, GPU, networking
• Liquid cooling systems
• Factory network infrastructure design
• Experience in the inte

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