Intern - PEE CVD
Core
Develop an AI-Enabled root cause analysis tool to interpret incident logs and accelerate engineering learning cycles in semiconductor manufacturing.
Role type
Intern, AI/ML Engineer (Semiconductor Process Engineering)
Builds
AI models for incident analysis and data visualization tools
Domain
Semiconductor manufacturing, Chemical Vapor Deposition (CVD), Process Engineering
Deliverable
production ML models
Required skills
Python, statistical data analysis, machine learning, root cause analysis methods, data preparation
Preferred skills
Generative AI, Large Language Models, Design of Experiments, Statistical Process Control
Technologies
Microsoft Teams, Equipment Tracking Interface, Fault Detection and Classification systems
Responsibilities
Prepare and classify incident inputs from equipment alarms and process records; train AI/ML models to interpret technical context in incident logs; develop methods for grouping incidents into Pareto categories; evaluate integration concepts for incident validation; conduct correlation studies using historical manufacturing data.