About the role#
This is a full-time internship position for Summer 2026. You will join the team in Santa Clara to focus on the intersection of physics and artificial intelligence within semiconductor manufacturing. This role involves developing and implementing advanced modeling techniques.
What you'll do#
- Define and establish Physics-AI workflows.
- Execute complex simulations.
- Develop and apply algorithms for physics-AI modeling.
What you'll need#
- Current enrollment in a Masters or PhD program in Mechanical Engineering, Chemical Engineering, Physics, or a related field.
- Experience with Multiphysics modeling and physics-AI workflows.
- Proficiency in Python programming.
- Familiarity with libraries such as Scikit-learn, TensorFlow, and PyTorch.
Location & details#
- Location: Santa Clara, California.
- Modality: On-site.
- Travel: Up to 20 percent of the time.
- Status: Paid, full-time internship.
About Applied Materials
Applied Materials operates in the semiconductor manufacturing industry. The company produces equipment for materials engineering and flat panel display manufacturing. It was founded in 1967 and maintains its headquarters in Santa Clara, California. The organization employs over 32,000 people.
How to get in at Applied Materials
Applying early gives you a distinct advantage at Applied Materials, as recruiters often review candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, ensuring you can submit your materials among the first. This helps you avoid the frustration of applying to a role that has already been filled or overlooked. You can also improve your response rates by reaching out to the people actually hiring for the team. Intern Insider surfaces the recruiters behind the company roles so you can contact them directly to ask about the position or a referral. Making that personal connection often helps your application stand out from the pile.
