
Internship- Product Engineer Computational Model
ASML
- Location
- San Jose, CA
- Work style
- On-site
- Job type
- Full time, Internship
- Posted
- Oct 30
- 1 day ago
Career path
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About the company

ASML
Semiconductor Manufacturing · 10,001+ employees
Who are we?
ASML is an innovation leader in the global semiconductor industry. We make machines that chipmakers use to mass produce microchips. Founded in 1984 in the Netherlands with just a handful of employees, we’ve now grown to over 40,000 employees, 143 nationalities and more than 60 locations around the world.
What do we do?
We provide chipmakers with hardware, software and services to mass produce patterns on silicon through lithography. Our lithography systems use ultraviolet light to create billions of tiny structures on silicon that together make up a microchip. We push our technology to new limits to enable our customers to create smaller, faster and more powerful chips.
Who are our people?
While you may think that only engineers and mathematicians work at ASML, you'll be surprised to find out that our people come from a wide variety of backgrounds. Across ASML, we have dedicated teams that manage customer support, communications and media, IT, software development and more. Every team in the company is essential for pushing our technology and the industry forward.
If you love to tackle challenges and innovate in a collaborative, supportive and inclusive environment with all the flexibility and freedom to unleash your full potential, ASML is the place to be.
Join us!
What you'll do
- Conduct pattern coverage studies, analyze semiconductor manufacturing data, and use simulation and modeling tools to evaluate lithography and process performance.
- Support feasibility studies and customer application solutions, validate technical requirements with engineering teams, and document and present findings.
What you need
- Applicants must be pursuing a master's degree or PhD in a relevant technical field and have related experience through research, coursework, projects, or internships in areas such as semiconductor technology, optics, modeling, or lithography.
- Familiarity with scientific computing, simulation, or data analysis is expected; programming experience is preferred, while machine learning, optimization, or semiconductor process modeling exposure is beneficial.
- Education: a postgraduate degree
Key skills
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