Introduction The Motion Control department at ASML develops and maintains a common platform used across a wide range of products. This platform enables engineers to design and deploy advanced control systems efficiently while supporting demanding performance requirements. As the use of this platform continues to grow, ensuring fast and effective software testing becomes increasingly important. In this internship, you will help improve software delivery by investigating and implementing Test Impact Analysis methods that optimize the testing process within a modern development environment.
Your assignment Software releases within the Motion Control department are tested regularly to maintain quality and reliability. As software complexity grows, executing all available tests for every change becomes increasingly time-consuming. During this internship, you will investigate how Test Impact Analysis (TIA) can be integrated into the CI/CD environment and implement a working solution. The goal is to predict which tests should be executed based on code changes, enabling a faster and more efficient testing process. You will combine research and hands-on implementation to deliver a solution that supports software delivery teams and improves testing efficiency.
Your main responsibilities will be: - Research existing Test Impact Analysis methods and industry best practices
- Analyze software testing requirements through stakeholder interviews and data gathering
- Evaluate different approaches for predicting test impact
- Develop and validate a Test Impact Analysis model using software change information
- Investigate the use of artificial intelligence, domain knowledge, or code coverage data to improve predictions
- Implement and integrate the selected solution into the software delivery pipeline
- Measure and demonstrate improvements in testing efficiency and effectiveness
This is a bachelor/master (non-thesis) internship for minimum 6 months, minimum 4 days per week (3 days on-site). The start date of this internship is as of February 2027.
Your profile To be suitable for the internship, you:
- Are pursuing a bachelor's or master's degree in Computer Science, Software Engineering, Information Sciences, or a related field
- Have experience with Python and shell scripting
- Have knowledge of software development processes and continuous integration practices
- Are analytical and able to translate complex information into practical solutions
- Are proactive, collaborative, and comfortable working with different stakeholders
- Have a strong sense of ownership and perseverance when working toward results
- Are fluent in English, both written and spoken
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).
This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.
Inclusion and diversity 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 inclusion and diversity is a driving force in the success of our company.
Need to know more about applying for a job at ASML? Read our frequently asked questions.