Principal Quality Engineer
Core
Lead the development of data-driven quality systems using SPC, measurement analysis, and advanced analytics to proactively identify risks and improve reliability across production lines.
Role type
Principal Quality Engineer (Manufacturing)
Builds
Smart factory methods including predictive quality, automation, and digital traceability systems.
Domain
High-volume, high-complexity manufacturing (electronics assembly, PCBA, servers, aerospace, medical, automotive)
Deliverable
production ML models
Required skills
Statistical Process Control (SPC), Gauge R&R, Measurement System Analysis, DOE, Regression Analysis, Python, SQL, Minitab, JMP, PLC programming, Robotic integration, CAD tools, MES systems
Preferred skills
AI/ML toolsets for predictive analytics, MBA or business exposure
Technologies
Minitab, JMP, Python, R, SQL, Siemens, Allen-Bradley, SolidWorks, AutoCAD
Responsibilities
Lead transformation initiatives for manufacturing risk analysis and continuous improvement; Define and implement systems for automation, metrology, and predictive analytics; Develop and sustain SPC systems; Lead Gauge R&R studies; Translate DFM and PFMEA insights into process risk controls; Perform advanced data analysis for trend detection and anomaly identification; Lead supplier qualification and quality management; Implement data traceability systems; Support new customer engagement and quality requirement reviews; Drive structured problem-solving for internal and supplier issues; Partner with teams on New Product Introduction (NPI); Deploy AI and automation technologies (machine vision, digital twins) to enhance quality.
Seniority
Principal, hands-on IC with leadership in transformation
