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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.
Job Responsibility:
Lead the strategy, development, and execution of test systems for hyperscale hardware products across all stages of production
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
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
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
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
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
Requirements:
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, Factory network infrastructure design
Experience in the interactions 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, or process robustness
Excellent communication skills with the ability to engage at both executive and technical levels
Background in electronics assembly, PCBA, servers, or other high-reliability industries (e.g., aerospace, medical devices, automotive, etc.)
Experience coaching or mentoring technical teams to upskill in data-driven decision-making
Nice to have:
Exposure to or knowledge of AI/ML toolsets for statistical problem solving, predictive analytics, or anomaly detection
Experience in hyperscale data centers, with cloud infrastructure companies, or with server OEM/ODMs
Familiarity with global manufacturing operations, including working with CM/JDB/ODM partners
MBA or exposure to business, finance or economics is advantageous
What we offer:
Performance-based annual bonus eligibility
401(k) retirement savings plan
Tuition reimbursement for eligible education programs
Comprehensive medical, dental, and vision coverage with access to leading providers
Mental health resources and employee wellness support programs
Company-paid life and disability insurance
Paid time off (PTO) and company-paid holidays
Parental leave and family care support programs
Structured training programs and on-the-job learning opportunities
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