Yield and Process Control Innovation Engineer
Core
Monitor wafer manufacturing processes, drive yield enhancement, and investigate process excursions using statistical process control and defect data.
Role type
Yield and Process Control Innovation Engineer
Builds
Production ML models for anomaly detection, automated data pipelines, and SPC control systems
Domain
Semiconductor manufacturing (CMOS fabrication)
Deliverable
production ML models | product features
Required skills
Statistical process control (SPC), electrical parametric testing, defect inspection mechanisms, semiconductor device physics, CMOS fabrication processes, data pipeline development, automation, root cause analysis
Preferred skills
Machine learning model deployment, cross-functional collaboration, technical writing
Technologies
SPC charts, control limits, electrical test (ET) data, metrology, defectivity trends
Responsibilities
Monitor daily inline data, metrology, and defectivity trends; analyze electrical test data; develop and deploy ML models for anomaly detection; implement Corrective and Preventive Actions (CAPA); optimize SPC charts and sampling plans; summarize complex data into actionable reports
Seniority
Mid-level, hands-on IC