Public summary
This role is for a Quality Engineer focused on Statistical Process Control and Metrology within a semiconductor manufacturing environment in Dresden, Germany. The engineer will manage calibration and performance of inline metrology tools, enhance SPC systems, and apply statistical methods to ensure manufacturing quality. The position offers a unique blend of physical engineering and statistical data analysis in a new high-tech semiconductor fab with international collaboration and extended training abroad.
Location and work setup
- Location
- Dresden
- Remote status
- On-site
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Oversee metrology quality assurance including inline tool calibration and matching across fabs. Enhance SPC systems managing control limits, CPK monitoring, process audits, and data analysis. Apply advanced statistical techniques like DOE and reliability modeling to predict and prevent process risks. Develop custom statistical algorithms and scripts for automated quality monitoring. Collaborate internationally to harmonize metrology and SPC standards.
Qualifications
Bachelor's or Master's degree in Material Engineering, Statistics, Industrial Engineering, Physics or related field. Up to 3 years experience in high-tech or semiconductor manufacturing. Strong knowledge of SPC, CPK, and statistical evaluation techniques. Proficiency in statistical software/programming languages such as JMP or R. Fluent English required; German and Mandarin conversational skills are a plus. Willingness for extended hands-on training abroad. Experience with metrology tools and Python, and Lean Six Sigma certification are advantageous.