Test Impact Analysis Intern – CI/CD Optimization

ASML; Veldhoven; Hybrid; EUR 6,100 - 7,300; Full time

Job summary

ASML is offering a hands-on internship in the Motion Control department to advance Test Impact Analysis in a modern CI/CD environment. You will research TIA methods, collect requirements, and prototype an AI-informed test-prediction model to shorten release cycles.

You will work closely with software engineers and stakeholders, apply Python and shell scripting, and contribute to an on-site/off-site hybrid program starting February 2027. Fluent English required.

Qualifications

• Pursuing a bachelor’s or master’s degree in Computer Science, Software Engineering, Information Sciences, or a related field.
• Experience with Python and shell scripting.
• Knowledge of software development processes and continuous integration practices.
• Analytical and able to translate complex information into practical solutions.
• Proactive, collaborative, and able to work with different stakeholders.
• Strong sense of ownership and perseverance when working toward results.
• Fluent in English, both written and spoken.

Responsibilities

• Research existing Test Impact Analysis methods and 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 AI, 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.

Skills

Python

Shell scripting

CI/CD

Education

Bachelor's or Master's in Computer Science, Software Engineering, Information Sciences or related

Job description

ASML is offering a hands-on internship in the Motion Control department to advance Test Impact Analysis in a modern CI/CD environment. You will research TIA methods, collect requirements, and prototype an AI-informed test-prediction model to shorten release cycles.

You will work closely with software engineers and stakeholders, apply Python and shell scripting, and contribute to an on-site/off-site hybrid program starting February 2027. Fluent English required.