Intern - F10 HVM Photo PEE
Core
Develop a data-driven digital twin framework for photolithography manufacturing equipment to model tool behavior, identify productivity constraints, and evaluate optimization opportunities using advanced data analytics and machine learning.
Role type
Intern, data analytics and simulation modeling
Builds
Digital twin models, analytics dashboards, and simulation frameworks for semiconductor manufacturing equipment
Domain
Semiconductor manufacturing / Photolithography / Industry 4.0
Deliverable
production ML models
Required skills
Python, SQL, R, statistics, data visualization, predictive analytics, machine learning concepts, simulation methods, AI-enabled analytical methods
Preferred skills
Artificial Intelligence tools for data analysis and predictive modeling
Responsibilities
Develop data-driven digital twin models for semiconductor manufacturing equipment; Analyze equipment utilization, throughput, cycle time, and operational performance datasets; Apply statistical, machine learning, and simulation techniques to evaluate manufacturing scenarios; Develop interactive dashboards and visualization tools to communicate insights; Collaborate with cross-functional engineers to understand manufacturing constraints; Apply AI-enabled analytical methods to identify patterns in equipment performance data
Seniority
Intern