Internship
ASML
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree or Master's degree
- Must know
- Machine learningPythonData analysisStakeholder managementMicrosoft Office
- Work
- On-site in San Diego · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python13%Data analysis12%Stakeholder management12%Machine learning6%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 4, 2026 · still open
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About the Role
This internship focuses on developing image-based Key Performance Indicators (KPIs) to describe the alignment between lasers and Sn material for EUV system setup. You will utilize machine learning and image analysis techniques on high-speed camera images captured during EUV formation.
Key Responsibilities
- Collect and organize high-speed image data from controlled experiments.
- Extract relevant image features using conventional image-processing techniques and/or ML/AI methods.
- Develop one or more image-based KPIs that summarize relevant information.
- Validate proposed KPIs against performance measurements and their robustness across different operating conditions.
Requirements & Tech Stack
- 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.
- Familiar with ML/AI-based image analysis methods.
- Ability to analyze technical data and communicate findings and recommendations.
- Analytical and problem-solving skills.
- 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.
- Attention to detail and accuracy.
- Ability to document analysis in scripts, notebooks, and technical reports.
- Ability to learn new technical concepts and methods.
- Result-oriented approach.
- Proficient use of Microsoft Office suite programs.
Other Information
- This position is located on-site in San Diego, California.
- Work authorization in the United States without employer sponsorship is required.
- This position may require access to controlled technology as defined by Export Administration Regulations.
Success Criteria
Identification of image-based KPIs that show clear, repeatable trends with laser and Sn material alignment quality and demonstrate improved observability compared to current methodology in use on EUV sources.