FC-223 is responsible of developing SW applications in wafer alignment domain at ASML. We create tools that help our customers to optimize, monitor and diagnose wafer alignment process within Twinscan.
Your assignmentWe are looking for an intern to support our software teams by developing scripts that enhance their daily work. This includes automating tasks performed by software developers using Large Language Models (LLM)- based applications. The focus will be on premise and offline solutions that can:
Extract structured data (dependencies, interactions, etc.) and generate documentation from code.
Automate refactoring tasks.
Generate and review test cases.
Assist in code and test reviews.
To be a great match for this internship you:
Are a final-year bachelor or a master student in Software Engineering, computer science, data science or related field or a similar field.
Have experience in Python and JavaScript and you have interest and basic knowledge about LLMs and open source frameworks around AI such as LLamaindex or Langchain.
Preferably have knowledge in Java, maven and React.js (or similar web framework).
Are able to work independently and autonomously and are pro-active.
Have strong communication skills and are fluent in English (verbal and written).
This is a final-year bachelor or master graduation/apprentice internship for 6 to 12 months, for 2 to 5 days per week (at least 3 days onsite for full-time). The start date of this internship is September 2025.
Other requirements you need to meet
You are enrolled at an educational institute for the entire duration of the internship;
You are located in the Netherlands to perform your internship. In case you are currently living/studying outside of the Netherlands, your CV/motivation letter includes the willingness to relocate;
If you are a non-EU citizen, studying in the Netherlands, your university is willing to sign the documents relevant for doing an internship (i.e., Nuffic agreement).
ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.
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ASML Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ASML and has not been reviewed or approved by ASML.
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Healthcare Strength — Health coverage is broad and employer‑funded to a significant degree, with multiple plan options plus mental health and wellness resources. Complementary offerings like onsite/virtual care, HSA contributions, and a gym subsidy strengthen the overall medical package.
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Parental & Family Support — Family‑forming benefits include paid parental leave, adoption assistance, IVF coverage, and practical supports like lactation rooms and milk‑shipment for travel. These provisions indicate substantial caregiving support across life stages.
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Leave & Time Off Breadth — Paid time off can reach a high ceiling when combining vacation and company holidays, with accruals increasing by tenure. Flexible workplace policies and a vacation sell‑back option add usability to the time‑off program.
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What We Do
ASML is a high-tech company, headquartered in the Netherlands. We manufacture the complex lithography machines that chipmakers use to produce integrated circuits, or computer chips. Over 30 years, we have grown from a small startup into a multinational company with over 60 locations across Europe, Asia and the US. Behind ASML’s innovations are engineers who think ahead. The people who work at our company include some of the most creative minds in physics, electrical engineering, mathematics, chemistry, mechatronics, optics, mechanical engineering, computer science and software engineering. Because ASML spends more than €2 billion per year on R&D, our teams have the freedom, support and resources to experiment, test and push the boundaries of technology. They work in close-knit, multidisciplinary teams, listening to and learning from each other.
