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ASML

Computer Science | Internship: Performance Analytics Tool Development

ASML is hiring a Computer Science | Internship: Performance Analytics Tool Development. Level rates it ; you can apply on ASML.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Python, MATLAB and software development.
  • Level classifies it as an internship.
  • Level lists 700 other open roles at ASML.
  • The role was posted in the last few days.

AI in this role

Develop and improve software tools and data visualization dashboards to analyze semiconductor performance measurement data.

pythonmatlab
software-developmentdata-analysisdata-visualizationperformance-analytics

Introduction

Within ASML’s Development and Engineering sector, the Performance & Integration department helps predict and optimize the performance of advanced semiconductor systems in real-world manufacturing environments. To support this work, the team develops software solutions that process large volumes of measurement data and transform them into actionable insights. This internship offers the opportunity to contribute to data-driven improvements that help engineers understand system behavior and identify optimization opportunities. During the internship, you will work with experienced engineers while developing software solutions that have a direct impact on performance analysis. If you enjoy combining software development, data analysis, and visualization, this internship could be a great fit for you.


Your assignment

In this internship, you will contribute to the development and improvement of software tools used to analyze performance data from advanced semiconductor systems. You will help transform complex datasets into clear insights and improve the quality and maintainability of existing applications. You will work closely with engineers to understand business needs and translate them into practical software solutions.


Your main responsibilities will be:

  • Analyze measurement data and understand relevant performance indicators
  • Improve the quality, reliability, and maintainability of existing software tools
  • Refactor and optimize software components to increase code reusability
  • Develop data visualization solutions and interactive dashboards
  • Translate complex datasets into clear and actionable insights
  • Collaborate with engineers to identify valuable metrics and reporting needs
  • Document software improvements and support knowledge sharing within the team

This is a bachelor/master non-thesis internship for 6 months, 5 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, Informatics, Mathematics, or a related field
  • Have efficient coding skills in Python and/or MATLAB
  • Have strong verbal and written communication skills in English
  • Are analytical and able to work with complex datasets
  • Are proactive and eager to learn in a collaborative environment
  • Can structure and improve software code in a clear and maintainable way

This internship offers hands-on experience in software development, data analytics, and visualization within a highly innovative high-tech environment. You will collaborate with experienced engineers, contribute to real-world performance analysis solutions, and develop skills relevant to a future career in software engineering and data-driven development.


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 attach your cover letter with a clear motivation on why you are interested in this internship assignment in particular;
  • 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.

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.

How we rate this

Computer Science | Internship: Performance Analytics Tool Development at ASML rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software DevelopmentData AnalysisData VisualizationPerformance AnalyticsPythonMATLAB

Questions you could be asked

  1. Tell me about a project where software development was part of your work. What did you do?
  2. Tell me about a project where data analysis was part of your work. What did you do?
  3. Tell me about a project where data visualization was part of your work. What did you do?
  4. Tell me about a project where performance analytics was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Software Development, Data Analysis, Data Visualization, Performance Analytics, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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