Internship, Planning DUV Wilton Factory Summer 2026

ASML•Wilton, CT

About The Position

ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers-the world’s leading chipmakers-to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon. Do you get excited about the planning of a part or a factory to secure timely shipment of our most advanced lithography systems? Do you have good organizational, critical thinking and analytical skills? We are looking for a candidate who is good at solving complex planning problems to achieve ASML's business target including the commercial product output and customer service requirement in the most efficient and economical way.

Requirements

Currently pursuing a Bachelor’s (Senior) or Master’s degree in Operations Management, Industrial Engineering, or Supply Chain Management.
Strong foundation in: Operations Research and Industrial Engineering.
Data Analysis & Machine Learning.
Coding (Advanced Python) / Visualization Tool for automation and data processing.
Familiarity with SharePoint development.
Knowledge of Industrial engineering & operations research concepts (e.g., time study, forecasting, Kanban).
Proficiency in data analysis, Coding (python) data visualization and reporting tools.
Strong problem-solving skills
Exposure to SAP ERP systems or manufacturing planning tools.

Responsibilities

Improve reliability and automate scheduling strategies, safety stock/buffer strategies across all products.
Improve KPI logic and calculations to ensure accurate performance measurement and actionable insights.
Develop simulation models for forecasting work in progress (WIP) and capacity planning.
Conduct time studies and workflow analysis to identify bottlenecks.
Apply industrial engineering principles such as process mapping, kanban implementation, Constrained Resource Allocation.
Design and implement automation solutions to streamline planning processes and reduce manual efforts.
Apply data visualization tools (Spotfire, Tableau) to analyze trends and build dynamic dashboards for KPI monitoring.
Build and reorganize SharePoint sites to improve data accessibility, implement controlled access for sensitive information, and archive outdated files/data.