ZT Systems
About The Role
The Principal Engineer, Master Black Belt will lead enterprise-wide quality and operational excellence initiatives across our high-performance, liquid-cooled server products and related manufacturing processes. The role requires influencing cross-functional teams, embedding a data-driven, quality-focused culture, and aligning improvement initiatives with organizational strategy.
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.
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.
Coach and mentor Black Belts and Green Belts to develop technical skills, leadership capabilities, and project execution excellence.
Foster a culture of continuous improvement and data-driven decision-making across all levels of the organization.
Lead cross-functional teams to resolve complex operational issues and implement enterprise-level improvement initiatives.
Define, monitor, and analyze key operational and quality metrics to drive continuous improvement and sustain performance gains.
Establish and standardize Lean Six Sigma methodologies and best practices across the organization to ensure consistent application and continuous improvement.
What You Bring The right person for this role is an agent of change and has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a good communicator, and is passionate about enabling the future of cloud computing.
MBA or exposure to business, finance or economics is advantageous.
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.
Certified Lean Six Sigma Master Black Belt.
Nice to Haves
Exposure to or knowledge of AI / ML toolsets for statistical problem solving, predictive analytics, or anomaly detection.
Proven success driving enterprise-level quality or operational excellence programs.
ISO 9000 / ISO 9001 familiarity — knowledge of quality management systems.
MBA or exposure to business, finance or economics is advantageous.
Experience leading across a variety of functions.
Compensation & Financial Security
Competitive base salary ($141,000–$188,000 annually) based on experience and qualifications.
Performance-based annual bonus eligibility.
401(k) retirement savings plan with generous company match.
Tuition reimbursement for eligible education programs.
Health & Wellness
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.
Time Away & Work-Life Balance
Generous paid time off (PTO) and company-paid holidays.
Parental leave and family care support programs.
Growth & Purpose
Structured training programs and on-the-job learning opportunities.
Matching gifts and volunteer programs to support causes you care about.
These benefits are available to eligible employees and are designed to grow with you as your career evolves. Full benefits and eligibility vary by work location.
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:
be a U.S. citizen or national,
be a U.S. lawful permanent resident (green card holder),
be a Refugee under 8 U.S.C. § 1157, or
be an Asylee under 8 U.S.C. § 1158, or
be eligible to obtain an export control license or license exception from the Bureau of Industry and Science & U.S. Department of Commerce.
All offers of employment will be conditional subject to the foregoing.
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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.
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.
Coach and mentor Black Belts and Green Belts to develop technical skills, leadership capabilities, and project execution excellence.
Foster a culture of continuous improvement and data-driven decision-making across all levels of the organization.
Lead cross-functional teams to resolve complex operational issues and implement enterprise-level improvement initiatives.
Define, monitor, and analyze key operational and quality metrics to drive continuous improvement and sustain performance gains.
Establish and standardize Lean Six Sigma methodologies and best practices across the organization to ensure consistent application and continuous improvement.
What You Bring The right person for this role is an agent of change and has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a good communicator, and is passionate about enabling the future of cloud computing.
MBA or exposure to business, finance or economics is advantageous.
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.
Certified Lean Six Sigma Master Black Belt.
Nice to Haves
Exposure to or knowledge of AI / ML toolsets for statistical problem solving, predictive analytics, or anomaly detection.
Proven success driving enterprise-level quality or operational excellence programs.
ISO 9000 / ISO 9001 familiarity — knowledge of quality management systems.
MBA or exposure to business, finance or economics is advantageous.
Experience leading across a variety of functions.
Compensation & Financial Security
Competitive base salary ($141,000–$188,000 annually) based on experience and qualifications.
Performance-based annual bonus eligibility.
401(k) retirement savings plan with generous company match.
Tuition reimbursement for eligible education programs.
Health & Wellness
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.
Time Away & Work-Life Balance
Generous paid time off (PTO) and company-paid holidays.
Parental leave and family care support programs.
Growth & Purpose
Structured training programs and on-the-job learning opportunities.
Matching gifts and volunteer programs to support causes you care about.
These benefits are available to eligible employees and are designed to grow with you as your career evolves. Full benefits and eligibility vary by work location.
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:
be a U.S. citizen or national,
be a U.S. lawful permanent resident (green card holder),
be a Refugee under 8 U.S.C. § 1157, or
be an Asylee under 8 U.S.C. § 1158, or
be eligible to obtain an export control license or license exception from the Bureau of Industry and Science & U.S. Department of Commerce.
All offers of employment will be conditional subject to the foregoing.
#J-18808-Ljbffr