Intern - PEE Operations Development Team (Photolithography)
Core
Develop and enhance an automated system to detect, classify, and respond to inline lot quality deviation events in a semiconductor wafer fabrication line.
Role type
Intern, Process and Equipment Engineering (Semiconductor Manufacturing)
Builds
Automated disposition workflows for inline quality events
Domain
Semiconductor manufacturing (Photolithography/Wafer Fab)
Deliverable
production ML models | dashboards & analysis
Required skills
Data analytics, Programming (R, Python), Statistical process control (SPC), Engineering judgement logic
Preferred skills
Cross-functional collaboration, Technical presentation
Technologies
R, Python
Responsibilities
Analyze historical inline quality deviation events, Identify patterns and define rules for automated classification, Develop or enhance scripts and dashboards, Validate automated disposition against engineering judgement, Document system logic and assumptions
Seniority
Intern
