Physics AI Scientist

About the role

Develop next‑generation AI models for semiconductor engineering by combining scientific domain knowledge with modern machine learning. Build physics‑aware surrogate models, foundation models, and optimization workflows that accelerate simulation and engineering design.

Key responsibilities

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

Required profile

• Ph.D. in Mechanical Engineering, Chemical Engineering, Materials Science, Physics, Applied Mathematics, Computer Science or a related field.
• Strong background in scientific machine learning and numerical simulation.
• Experience with surrogate modeling, PINNs, operator learning (e.g., Fourier Neural Operators) or foundation models.

Required skills

• Python programming.
• PyTorch framework.
• High‑performance computing and distributed training.
• Handling large‑scale scientific datasets.
• Developing scalable ML workflows.

What we offer

• Supportive work culture that encourages learning, development and career growth.
• Health and wellbeing programs supporting employees at work and at home.