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ASML

Computer Science | Engineering internship: performance data platform

ASML is hiring a Computer Science | Engineering internship: performance data platform. Level rates it ; you can apply on ASML.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Python, Databases and data engineering.
  • Level classifies it as an internship.
  • Level lists 775 other open roles at ASML.
  • The role was posted within the past week.

AI in this role

Computer science intern to design and implement a scalable measurement and performance data platform for semiconductor inspection systems.

PythonDatabases
data-engineeringdatabase-designdata-analysissoftware-development

Introduction

At ASML’s Delft office, we are developing a multi-beam electron microscope used to inspect semiconductor wafers during production. As part of the development process, we continuously collect and analyze data from multiple systems operating under a wide range of conditions. Storing this data in a structured, reliable, and future-proof way, while making it easily accessible for querying, analysis, performance tracking, and reporting, is essential to our work. This internship focuses on developing a data platform that supports these activities and helps engineers gain valuable insights from complex datasets. You will contribute to a solution with a direct impact on the development of advanced semiconductor technology.


Your assignment

As an intern, you will work with our design team to develop a data platform for measurement and performance data. You will investigate the data generated by our systems and determine how it can best be structured, stored, and accessed to support current and future querying, analysis, performance tracking, and reporting needs. You will have the opportunity to design and implement the solution from the ground up, with the freedom to explore suitable technologies and approaches that best support our engineering needs.

Your main responsibilities will be:

  • Analyze measurement and performance data generated by our systems;
  • Define an effective structure for storing and organizing data;
  • Explore suitable data-storage technologies and database architectures;
  • Design and implement a scalable data platform and database solution;
  • Enable efficient querying and access to data for analysis and reporting;
  • Support the use of measurement and performance data to monitor system performance over time;
  • Collaborate with engineers to ensure the solution meets current and future requirements.

This is a master thesis or non-thesis internship for minimum 5 months, 5 days per week (2 days on-site). The start date of this internship is as of February or March 2027.


Your profile

To be suitable for the internship, you:

  • Are currently enrolled in a master's degree program in Computer Science, Software Engineering, Data Science, Engineering, or a related field;
  • Have completed a bachelor's degree and are continuing your studies in a master's degree program;
  • Have experience with Python programming;
  • Have an interest in databases, data engineering, and data management;
  • Demonstrate strong analytical and problem-solving skills;
  • Are collaborative and proactive in a multidisciplinary environment;
  • Are curious and eager to contribute to complex and impactful technology projects.

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 | Engineering internship: performance data platform 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

Data EngineeringDatabase DesignData AnalysisSoftware DevelopmentPythonDatabases

Questions you could be asked

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

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