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 | product features | dashboards & analysis
Required skills
Statistical Process Control (SPC), Gauge R&R, Measurement System Analysis, DOE, Regression Analysis, Correlation Analysis, PFMEA, Data Analysis, Supplier Quality Management, New Product Introduction (NPI) Quality, AI/ML for Quality, Industrial Automation, PLC Programming, Robotic Integration, MES Systems, CAD Tools
Preferred skills
MBA or business/finance/economics exposure, AI/ML toolsets for statistical problem solving
Technologies
Minitab, JMP, Python, R, SQL, SolidWorks, AutoCAD, Siemens, Allen-Bradley
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 and measurement system analysis; Translate DFM and PFMEA insights into process risk controls; Perform advanced data analysis for trend identification and anomaly detection; Lead supplier qualification, audits, 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 design and operations for NPI quality; Explore and deploy AI/automation technologies; Ensure compliance with ISO 9001 and IATF 16949 standards.
Seniority
Principal, hands-on IC with leadership in transformation
