Technical Business Administration | Industrial Engineering internship: manufacturing readiness analysis
ASML is hiring a Technical Business Administration | Industrial Engineering internship: manufacturing readiness analysis. 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 industrial engineering, data analysis and business analysis.
- Level classifies it as an internship.
- Level lists 775 other open roles at ASML.
- The role was posted within the past two weeks.
AI in this role
Industrial engineering intern to validate manufacturing readiness decision models and analyze risks and business impacts at ASML.
Introduction
Within ASML’s Global Manufacturing organization in Veldhoven, the Safety, Quality, and Operational Excellence team helps strengthen the Product Generation Process (PGP), one of the company’s key business processes. This team works closely with colleagues across manufacturing sites to improve how new products are introduced into manufacturing. Faster and more predictable industrialization supports ASML’s ability to deliver innovative products at scale. In this Technical Business Administration | Industrial Engineering internship: manufacturing readiness analysis, you will help validate and further develop a recently created manufacturing readiness decision-making model and contribute to more data-driven business decisions.
Your assignment
During internship, you will work on one of the following two assignments. The final assignment will be determined based on your interests, strengths, and team priorities. Your main responsibilities will be:
Assignment 1: Manufacturing readiness model validation
You will validate and improve a recently developed manufacturing readiness decision-making model and assess its value in ongoing projects.
- Apply the model within active product introduction projects.
- Evaluate how effectively the model supports decision-making.
- Gather feedback from stakeholders across manufacturing.
- Assess usability, adoption, and practical value.
- Identify opportunities for model improvements.
- Develop recommendations for broader implementation.
- Present findings and validation results to the team.
Assignment 2: Industrialization risk and business impact analysis
You will quantify the financial impact of manufacturing risks and opportunities to support fact-based decision-making.
- Analyze historical project and manufacturing data.
- Investigate links between manufacturing performance and business outcomes.
- Quantify impacts such as rework, engineering effort, and cycle-time delays.
- Develop business cases and benefit assumptions.
- Evaluate potential financial improvements.
- Build a structured benefit management approach.
- Present recommendations and impact assessments.
This is a bachelor non-thesis internship for minimum 5 months, minimum 4 days per week (2 days on-site). The start date of this internship is as of January 2027.
Your profile
To be suitable for the internship, you:
- Are pursuing a bachelor/masters degree in Industrial Engineering, Technical Business Administration, Engineering Management, or a related engineering discipline.
- Have strong analytical skills and enjoy working with data and quantitative assessments.
- Are proactive and comfortable reaching out to stakeholders for information and support.
- Can translate complex findings into practical recommendations and business insights.
- Have good written and verbal communication skills in English.
This internship offers the opportunity to work on a meaningful business challenge while gaining experience in decision-making, data analytics, benefit management, and systems thinking. You will collaborate with experienced professionals and contribute directly to improving manufacturing readiness in new product introduction projects.
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
Technical Business Administration | Industrial Engineering internship: manufacturing readiness analysis 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Questions you could be asked
- Tell me about a project where industrial engineering was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where business analysis was part of your work. What did you do?
- Tell me about a project where process optimization was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Industrial Engineering, Data Analysis, Business Analysis, and Process Optimization. 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.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new software engineering jobs by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Software Engineering roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step