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. Introduction We are looking for an enthusiastic intern to join our team and help us explore innovative ways to process large volumes of equipment data using Artificial Intelligence (AI). This internship offers a unique opportunity to work on cutting-edge technologies and contribute to transforming how we manage and analyze machine data collected from customer sites. Background Information Our team is responsible for managing and analyzing equipment data generated by machines deployed at customer locations. Currently, processing this data involves tedious manual activities and the use of existing scripts with limited flexibility. These challenges hinder scalability and efficiency, creating a strong need for automation and smarter solutions. Your Assignment: The intern will investigate emerging AI technologies and techniques to improve data processing workflows. The goal is to identify opportunities where AI can replace or augment manual processes and develop proof-of-concept solutions to showcase potential improvements. Problem Statement: Big amounts of equipment data are being collected from our machines at customer sites. Processing of that data heavily relies on manual activities and rigid scripts. This internship aims to explore AI-driven approaches to automate and optimize these processes. What Makes This Internship Interesting: You will work on real-world industrial data challenges, gain hands-on experience with AI technologies, and contribute to shaping future solutions for data-driven operations.
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Career Level
Intern
Number of Employees
5,001-10,000 employees