Internship
ASML
This job at a glance
- Who can apply
- New grads and up to 1 year · Master's degree
- Must know
- Business analysisStakeholder managementData analysisMachine learning
- Nice to have
- PythonMATLAB
- Work
- On-site in San Jose · internship
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis17%Stakeholder management11%Machine learning11%Business analysis10%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 30, 2026 · still open
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About the Role
The Product Engineer Computational Model Intern supports ASML Brion's mission of advancing lithography-driven design and manufacturing solutions. Working at the intersection of product development and customer applications, you will participate in pattern coverage studies, computational lithography investigations, and technology evaluations that help improve modeling accuracy and product performance. This internship offers hands-on experience with advanced semiconductor technologies, data-driven problem solving, and industry-leading computational lithography solutions. You will collaborate with engineers and domain experts while gaining exposure to real-world challenges in semiconductor manufacturing and process optimization.
Key Responsibilities
- Conduct pattern coverage studies to support computational lithography modeling and product development.
- Analyze semiconductor manufacturing data to identify trends, opportunities, and process improvements.
- Support feasibility studies and technical evaluations for new product capabilities and customer requirements.
- Assist in developing best-practice approaches for standard and customized application solutions.
- Collaborate with product engineers and application teams to validate technical requirements.
- Utilize simulation and modeling tools to evaluate lithography and process performance.
- Document findings and present technical results to engineering stakeholders.
Requirements & Tech Stack
- Experience through research, coursework, academic projects, or internships related to semiconductor technology, optics, modeling, or lithography.
- Familiarity with scientific computing, simulation tools, or data analysis techniques.
- Programming or scripting languages such as Python, MATLAB, Perl, or similar technologies is preferred.
- Exposure to machine learning, optimization methods, or semiconductor process modeling is beneficial.
Qualifications
- Currently pursuing a master's degree or PhD in Electrical Engineering, Physics, Chemical Engineering, Semiconductor Manufacturing, Process Technology, or a related technical field.