Sr Metrology & Measurement Engineer

About The Role

Sr Staff Metrology & Measurement Engineer will architect a metrology‑driven inspection and data analytics function for hyperscale server and rack integration. The role involves designing and operationalizing a greenfield IQC lab, establishing advanced measurement systems and analytics frameworks for liquid cooling hardware to high‑speed interconnects, and ensuring CTQ requirements are met before production release.

• 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 predictive analytics.
• Leverage deep, data‑rich environments and tools to generate insights that improve yield, reliability, and throughput.
• Collaborate across design, quality, manufacturing, test, and supplier engineering to drive solutions that integrate seamlessly into production.
• 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.
• Define and implement the Incoming Quality Lab framework, including inspection methods, equipment strategy, calibration systems, and SOPs.
• Select, qualify, and maintain advanced metrology and test systems (CMM/OMM, cable and signal integrity analyzers, etc.).
• Manage calibration programs and maintain compliance with ISO and customer quality standards.
• Establish and enforce inspection standards and CTQs directly tied to system performance and reliability.
• Deploy advanced sampling strategies, SPC controls, Cp/Cpk, GR&R, and integrate Minitab/JMP analytics into daily operations.
• Apply large‑scale data analytics to supplier Track‑and‑Trace datasets, enabling predictive insights and real‑time defect containment.
• Define and maintain dashboards for defect trends, supplier performance, and yield metrics.
• Collaborate with SQE teams to develop AI‑assisted analytics tools linking supplier OQC to factory IQC datasets.
• Build deep traceability systems and lead supplier trend analysis to facilitate closed‑loop corrective action and predictive component analytics.
• Execute supplier readiness‑to‑IQC correlation and MSA capability studies; communicate results throughout the supply chain.
• Drive proactive engagement with suppliers (SQE) and internal manufacturing quality teams (MQE) to ensure supply continuity at scale.
• Drive defect prevention through structured inspection processes, escalation protocols, and supplier feedback loops (MSA/GR&R correlation capability studies).
• Partner with strategic partners and customer engineering to ensure specifications are measurable and inspectable.
• Collaborate with Supply Chain and Manufacturing Quality to align incoming inspection readiness with production ramps.
• Present IQC performance, readiness, and improvement actions to executive leadership.

• Advanced degree in Engineering, Computer Science, Data Science, or a related field.
• 8+ years in incoming inspection, supplier quality, or metrology leadership in high‑volume, high‑complexity industries.
• 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.
• Strong expertise in dimensional measurement (GD&T, CMM), leak/flow validation, and/or electrical signal integrity testing.
• Experience managing incoming inspection processes within EMS/ODM environments or similarly complex supply chains.
• Proven success in building and managing inspection labs, including equipment qualification, calibration systems, and documentation.
• Deep knowledge of SPC, GR&R, ISO/TL9000, and advanced supplier quality methods.
• Deep & wide working knowledge and use of SPC tools (Minitab/JMP) and regression/correlation analysis and SPC analytics.
• Cross‑industry backgrounds encouraged (automotive, aerospace, consumer electronics, medical devices, telecom, semiconductor equipment, EMS/ODM).
• Experience with liquid cooling and/or high‑speed interconnects a plus; strong metrology and inspection background required.
• Six Sigma Green Belt (necessary).
• Nice to have:
  Exposure to or knowledge of AI/ML toolsets for statistical problem solving, predictive analytics, or anomaly detection.
• Six Sigma Black Belt, MBA, or exposure to business, finance or economics is advantageous.

ZT Systems is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.