Physics AI Scientist III

Applied Materials
Santa Clara
Workplace: OnsiteFull timeUSD 142,500 - 196,500 annuallyFunction: Research & Scientific (R&D)Education: phdSkills: ["Collaboration","Innovation","Problem-solving"]

Develop next-generation scientific AI models for semiconductor engineering by combining physics-aware domain knowledge with modern machine learning. Build surrogate models, operator-learning models, and foundation models for scientific simulations, and create scalable data generation, training, validation, and deployment workflows. Partner with domain experts to solve complex engineering problems, publish technical innovations, and help drive adoption of Scientific AI across engineering applications.

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FursaFursa
Applied Materials
Applied Materials
4 days ago

Physics AI Scientist III

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

Job Summary

Develop next-generation scientific AI models for semiconductor engineering by combining physics-aware domain knowledge with modern machine learning. Build surrogate models, operator-learning models, and foundation models for scientific simulations, and create scalable data generation, training, validation, and deployment workflows. Partner with domain experts to solve complex engineering problems, publish technical innovations, and help drive adoption of Scientific AI across engineering applications.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Develop scientific AI models that bridge scientific computing, physics-based simulation, and machine learning for physics/chemistry engineering problems.
  • •Design and train surrogate models, operator-learning models, and foundation models for scientific simulations.
  • •Collaborate with domain experts to formulate AI solutions for complex engineering challenges.
  • •Develop scalable data generation, training, validation, and deployment workflows for scientific AI models.
  • •Publish technical innovations and drive adoption of Scientific AI across engineering applications.
Travel: Low travel

Pay and Benefits

Salary: USD 142,500 - 196,500 annually

Key Requirements

  • •Ph.D. in Mechanical Engineering, Chemical Engineering, Materials Science, Physics, Applied Mathematics, Computer Science, or a related field.
  • •Experience applying machine learning to real-world scientific or engineering problems.
  • •Strong background in scientific machine learning and numerical simulation.
  • •Experience with surrogate modeling, PINNs, operator learning (e.g., FNO), or foundation models.
  • •Proficiency in Python and PyTorch, including experience with HPC, distributed training, and scalable ML workflows.
Education:PhD / Doctorate in Mechanical Engineering, Chemical Engineering, Materials Science, Physics, Applied Mathematics, Computer Science
Skills:CollaborationInnovationProblem-solving
Tech Stack:PythonPyTorchPINNsFNOHPCDistributed trainingMachine learningNumerical simulationSurrogate modelingFoundation modelsOperator learning

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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Glassdoor: 3.9
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