Principal Quality Engineer

About The Role The Principal Quality Engineer will lead the development of data‑driven quality systems, using SPC, measurement analysis, and advanced analytics to proactively identify risks, control variation, and improve reliability across production lines. They will partner across design, operations, suppliers, and new product introduction teams to embed smart factory methods—including predictive quality, automation, and digital traceability—ensuring seamless customer experiences and robust performance in next‑generation manufacturing environments. What You Will Do Lead or contribute to transformation initiatives, helping set new standards for how the company 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. Develop, implement, and sustain Statistical Process Control (SPC) systems using industry‑standard software. Lead Gauge R&R studies and measurement system analysis to ensure measurement accuracy and reliability. Translate DFM and PFMEA insights into actionable process risk controls across production lines. Perform advanced data analysis to identify trends, detect anomalies, and support predictive quality. Lead supplier qualification, audits, and ongoing supplier quality management, ensuring robust quality throughout the supply chain. Implement and maintain data traceability systems for compliance, customer requirements, and continuous improvement. Support new customer engagement, including quality requirement review, contract manufacturing quality alignment, and onboarding of customer‑specific standards. Drive structured problem‑solving initiatives for both internal and supplier‑related issues. Partner with design, operations, and manufacturing teams to ensure quality during new product introduction (NPI). Explore and deploy AI and automation technologies (machine vision, predictive analytics, anomaly detection, digital twins) to enhance manufacturing quality and efficiency. Ensure compliance with industry quality standards (ISO9001, IATF16949, or similar). What You Bring Exceptional analytical capabilities, thrives in a fast‑paced environment, loves problem‑solving, and is a good communicator. 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). Demonstrated expertise in statistical and analytical methods such as regression analysis, correlation analysis, DOE, SPC, PFMEA, Gauge R&R, and commonality studies. 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. Proficiency in CAD tools (SolidWorks, AutoCAD) and industrial automation platforms (Siemens, Allen‑Bradley, etc.). Experience with PLC programming, robotic integration (e.g., 6‑axis arms, gantry systems), and industrial sensors. Familiarity with MES systems, Python, or SQL for automation control. Nice to Have: Exposure to or knowledge of AI/ML toolsets for statistical problem solving, predictive analytics, or anomaly detection. MBA or exposure to business, finance or economics is advantageous. What We Offer Below are some of the benefits available to eligible employees. Full benefits and eligibility vary by work location. Competitive base salary 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 Matching gifts and volunteer programs to support causes you care about Equal Employment Opportunity ZT Group Int’l. is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. ZT Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Please be aware that certain positions may require the applicant to either 1) be a U.S. citizen or national, 2) be a U.S. lawful permanent resident (green card holder), 3) be a Refugee under 8 U.S.C. § 1157, or 4) be an Asylee under 8 U.S.C. § 1158, or 2) be eligible to obtain an export control license or license exception from the Bureau of Industry and Science and the U.S. Department of Commerce. All offers of employment will be conditional subject to the foregoing. #J-18808-Ljbffr ZT Group Intl, Inc. dba ZT Systems