Internship- Product Engineer Computational Model
ASML is hiring an Internship- Product Engineer Computational Model in San Jose, United States. 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.
- Level classes it as an internship.
- ASML has 708 other open roles on Level.
- Posted in the last few days.
AI in this role
Introduction
Are you interested in applying advanced modeling, data analysis, and semiconductor process knowledge to solve some of the industry's most complex manufacturing challenges? As a Product Engineer Computational Model Intern, you will contribute to innovative solutions that help enable the next generation of semiconductor devices.
Your assignment
The Product Engineer Computational Model Intern role 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. The Product Engineer Computational Model intern will collaborate with engineers and domain experts while gaining exposure to real-world challenges in semiconductor manufacturing and process optimization.
Role and Responsibilities
As a Product Engineer Computational Model intern, you will support engineering activities that connect product development with customer application needs. You will help evaluate lithography-related challenges, analyze data, and contribute to technology solutions that enable future semiconductor innovations.
- 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.
Education and Experience
- Currently pursuing a master's degree or PhD in Electrical Engineering, Physics, Chemical Engineering, Semiconductor Manufacturing, Process Technology, or a related technical field.
- 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.
- Experience with 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.
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.
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How we rate this
Internship- Product Engineer Computational Model at ASML rates 11 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.
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