Internship - Machine Learning and image-based EUV system setup

ASML • San Diego, CA

4d • Onsite

About The Position

ASML US develops and supports lithography machines that enable leading chipmakers to produce smaller, more powerful, and more energy-efficient microchips. In ASML EUV Light Sources, high-power lasers interact with tin material to create plasma that generates EUV light. Correct alignment between the lasers and tin is essential for efficient, stable operation, and high-speed camera images of EUV formation provide spatial information about this interaction.

The intern will use machine learning and image-analysis techniques on high-speed images collected during controlled experiments. The objective is to identify image characteristics that indicate good laser-to-tin alignment and translate them into simple, measurable key performance indicators (KPIs). The intern will validate the proposed KPIs against performance measurements and assess their robustness across operating conditions. Success means identifying image-based KPIs that show clear, repeatable trends with alignment quality and improve observability compared with the methodology currently used on EUV sources.

This position is on-site in San Diego, California. The role requires on-site presence for work-related events, trainings, and meetings, and may involve working in a clean room while wearing protective garments and equipment. Candidates must be authorized to work in the United States without employer sponsorship and legally authorized to access any controlled technology required for the position.

Requirements

• Currently pursuing a bachelor's or master's degree in computer science, control systems, physics, applied mathematics, or a related technical field.
• Knowledge or experience using Python for data analysis.
• Familiarity with machine-learning or AI-based image-analysis methods.
• Ability to analyze technical data and communicate findings and recommendations.
• Ability to work with image datasets and corresponding metadata.
• Ability to apply clustering, dimensionality-reduction, or supervised-learning methods.
• Ability to work independently and collaborate with technical stakeholders.
• Clear written and verbal communication skills.
• Attention to detail and accuracy.
• Ability to learn new technical concepts and methods.
• Result-oriented approach.
• Proficient use of Microsoft Office suite programs.
• Must be willing to work in a clean-room environment wearing coveralls, hoods, booties, safety glasses, and gloves for the entire shift.
• Must be authorized to work in the United States without employer sponsorship.
• Must be legally authorized to access controlled technology required for the position before beginning work.

Responsibilities

• Collect and organize high-speed image data from controlled experiments.
• Extract relevant image features using conventional image-processing techniques and/or machine-learning and AI methods.
• Develop one or more image-based KPIs that summarize relevant image information.
• Validate proposed KPIs against performance measurements and assess their robustness across different operating conditions.
• Document analysis in scripts, notebooks, and technical reports.
• Communicate findings and recommendations.

What This Job Offers

• Career Level: Intern