About the role#
This is a full-time internship position for the Summer 2026 term, based on-site in Santa Clara, California. You will contribute to the field of semiconductor manufacturing by developing advanced modeling techniques.
What you'll do#
- Define and implement Physics-AI workflows.
- Execute simulations to support engineering objectives.
- Develop and apply algorithms for physics-AI modeling.
What you'll need#
- Currently enrolled as a Masters or PhD student in Mechanical Engineering, Chemical Engineering, Physics, or a related field.
- Practical experience in multiphysics modeling and physics-AI workflows, algorithms, and applications.
- Proficiency in Python programming.
- Familiarity with Python libraries such as Scikit-learn, TensorFlow, and PyTorch.
Location & details#
- Location: Santa Clara, CA.
- Term: Summer 2026.
- Work Modality: On-site.
- Travel: Up to 20% of the time.
- Status: 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.
