Physics AI Scientist
Applied Materials, Inc. (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted 6h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and implement AI models integrating scientific computing, physics-based simulation, and machine learning for semiconductor engineering challenges.
- Build and optimize physics-aware surrogate models, operator-learning models, and foundation models to accelerate scientific simulations and engineering design.
- Collaborate with domain experts and develop scalable workflows for data generation, model training, validation, and deployment of Scientific AI solutions.
Minimum Requirements
- Ph.D. in Mechanical Engineering, Chemical Engineering, Materials Science, Physics, Applied Mathematics, Computer Science, or a related field.
- Strong expertise in scientific machine learning and numerical simulation, including surrogate modeling, PINNs, operator learning (e.g., FNO), or foundation models.
- Proficiency in Python and PyTorch programming languages and frameworks.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in integrating AI with physics and chemistry-based engineering problems, especially in semiconductor or materials science domains.
- Demonstrated ability to develop scalable ML workflows, including distributed training and handling large scientific datasets.
- Ability to collaborate cross-functionally with domain experts to translate complex engineering problems into AI-driven solutions.