Physics AI Scientist IV

Applied Materials
Santa Clara
Workplace: OnsiteFull timeUSD 184,000 - 253,000 annuallyFunction: Research & Scientific (R&D)Education: phdSkills: []

Develop next-generation AI models for semiconductor engineering by combining physics and scientific domain knowledge with modern machine learning. Create physics-aware surrogate models, operator-learning models, and foundation models to accelerate simulation and engineering design. Build scalable data generation, training, validation, and deployment workflows, collaborate with domain experts on complex engineering challenges, and publish innovations while driving adoption across engineering applications.

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FursaFursa
Applied Materials
Applied Materials
3 days ago

Physics AI Scientist IV

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Source: Company careers pageValidated by: Fursa AI
Last checked: 30 minutes agoStatus: Live

Job Summary

Develop next-generation AI models for semiconductor engineering by combining physics and scientific domain knowledge with modern machine learning. Create physics-aware surrogate models, operator-learning models, and foundation models to accelerate simulation and engineering design. Build scalable data generation, training, validation, and deployment workflows, collaborate with domain experts on complex engineering challenges, and publish innovations while driving adoption 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 and chemistry-based 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 184,000 - 253,000 annually
Equity and Bonus:Equity
Perks:Travel Allowance

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, with experience in HPC, distributed training, large-scale scientific datasets, or scalable ML workflows.
Experience:SemiconductorsScientific computingPhysics-based simulationMachine learningHPC
Education:PhD / Doctorate in Mechanical Engineering, Chemical Engineering, Materials Science, Physics, Applied Mathematics, Computer Science, or a related field
Tech Stack:PythonPyTorchPINNsFNOHPCDistributed trainingFoundation models

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
Glassdoor
Glassdoor: 3.9
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