Artificial Intelligence | Computer Science internship: ai-driven software quality

Introduction — Artificial Intelligence | Computer Science internship: ai-driven software quality

The Virtual Computing Platform team in Veldhoven develops and maintains the digital software platform that helps customers operate ASML systems reliably and efficiently. As software platforms continue to grow in complexity, testing and qualification activities often require significant manual effort and expert knowledge. During this internship, you will help explore how Artificial Intelligence can make software quality engineering more intelligent, automated, and efficient. You will work on practical AI solutions that support faster issue detection, improved root-cause analysis, and smarter testing decisions. This is a unique opportunity to contribute directly to the future of AI-driven software quality engineering in a large-scale technology environment.

• Team: Interns and Trainees
• Work experience: 0-1 year, See job description
• Educational background: Computer Science
• Educational background: Data Science
• Educational background: Other technical backgrounds
• Educational background: Other non-technical backgrounds
• Travel: No
• Workplace type: Hybrid
• Fulltime/parttime: Full time

Your assignment

In this internship, you will collaborate with software engineers, test architects, and platform specialists to identify where AI can add the most value across the software testing lifecycle. Rather than focusing on theoretical research, you will build and validate solutions that improve how software quality is assessed and managed. You will help translate business challenges into practical AI applications and demonstrate their impact in a real engineering environment. Your main responsibilities will be:

• Analyze AI opportunities together with software and test engineers
• Develop AI-driven prototypes and proof-of-concepts
• Build AI agents that support software issue assessment and root-cause analysis
• Evaluate how AI can improve testing, qualification, and automation activities
• Measure the impact and business value of proposed solutions
• Present findings, recommendations, and adoption guidance to engineering stakeholders

This is a bachelor/master (non-thesis) internship for minimum 5 months, minimum 4 days per week (2 days on-site, but flexible). The start date of this internship is as soon as possible

Your profile

To be suitable for the internship, you:

• Are pursuing a bachelor's or master’s degree in computer science, Artificial Intelligence, Software Engineering, Computer Engineering, or a related field
• Have programming experience in Python and familiarity with Java, JavaScript, or similar programming languages
• Have hands-on experience designing and building AI-driven applications, prototypes, or intelligent workflows
• Have knowledge of machine learning, generative AI, or Large Language Models
• Have strong analytical and problem-solving skills
• Are proactive, curious, and comfortable working with multidisciplinary teams

Other requirements you need to meet:

• You are enrolled at an educational institute for the entire duration of the internship, and you are at least 18 years old at the start of the internship;
• 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);
• You need to be located in the Netherlands to be perform your internship. In case you are currently living/studying outside of the Netherlands, your application shows the willingness to relocate.

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.