2026 Summer Intern - Physics & AI modeling Engineering

Applied Materials
Santa Clara
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningEducation: mastersSkills: []

Build Physics-AI modeling workflows and run multiphysics simulations for semiconductor and display technology challenges. You’ll define end-to-end physics-AI workflows, develop algorithms and applications, and implement models in Python. Work with machine learning toolsets such as scikit-learn, TensorFlow, and PyTorch while collaborating with a team at Applied Materials in Santa Clara.

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FursaFursa
Applied Materials
Applied Materials
5 months ago

2026 Summer Intern - Physics & AI modeling Engineering

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build Physics-AI modeling workflows and run multiphysics simulations for semiconductor and display technology challenges. You’ll define end-to-end physics-AI workflows, develop algorithms and applications, and implement models in Python. Work with machine learning toolsets such as scikit-learn, TensorFlow, and PyTorch while collaborating with a team at Applied Materials in Santa Clara.
Location: Santa Clara
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Run simulations to support Physics-AI modeling work.
  • •Define and implement Physics-AI workflows.
  • •Develop physics-AI algorithms and applications.
  • •Apply multiphysics modeling techniques in engineering workflows.
  • •Use Python to build and evaluate models using ML libraries.
Travel: Medium travel

Key Requirements

  • •Masters or PhD student in Mechanical, Chemical, Physics or related displays.
  • •Experience in multiphysics modeling and physics-AI work flows, algorithms, and applications.
  • •Ability to run simulations and define Physics-AI workflow.
  • •Skilled in Python programming.
  • •Familiar with Python libraries including scikit-learn, TensorFlow, and PyTorch.
Education:Master's in Mechanical, Chemical, Physics
Tech Stack:PythonScikit-learnTensorFlowPyTorchANSYS

Company Brief

Applied Materials
Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1967
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