Physics AI Scientist III

Applied Materials•Santa Clara, CA

14h

About The Position

Applied Materials is seeking a Physics AI Scientist III to develop next-generation AI models for semiconductor engineering by combining scientific domain knowledge with modern machine learning. The role focuses on building physics-aware surrogate models, foundation models, and optimization workflows to accelerate simulation and engineering design. The position is based in Santa Clara, California, and includes travel of 10% of the time.

Requirements

Experience applying machine learning to real-world scientific or engineering problems.
Strong background in scientific machine learning and numerical simulation.
Proficiency in Python and PyTorch.

Nice To Haves

Ph.D. in Mechanical Engineering, Chemical Engineering, Materials Science, Physics, Applied Mathematics, Computer Science, or a related field.
Experience with surrogate modeling, PINNs, operator learning (e.g., FNO), or foundation models.
Experience with HPC, distributed training, large-scale scientific datasets, or scalable ML workflows.

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.