Physics AI Scientist - Scientific ML for Semiconductors

Applied Materials, Inc.; Santa Clara (CA); On-site; USD 143,000 - 197,000; Full time

Job summary

Applied Materials in Santa Clara, CA is seeking a researcher to develop next-generation AI models for semiconductor engineering by combining domain knowledge with ML. Build physics-aware surrogates and foundation models to accelerate simulation and design.

Work with experts to design scalable data generation, training, validation, and deployment workflows; publish innovations and drive adoption across engineering applications. This full-time role requires a PhD and strong ML background.

Qualifications

• PhD in Mechanical/ Chemical/ Materials Science or related field.
• Experience applying ML to scientific or engineering problems.
• Proficiency in Python and ML frameworks.
• Experience with HPC and large-scale data workflows.

Responsibilities

• Develop AI models for physics- and chemistry-based engineering problems.
• Train surrogate, operator-learning and foundation models for simulations.
• Collaborate with domain experts to craft AI solutions.
• Create scalable data generation, training, validation and deployment workflows.
• Publish innovations and drive adoption of Scientific AI across engineering apps.

Skills

PhD

Scientific ML

Surrogate modeling

Foundation models

FNO

Python programming

Education

PhD degree in a relevant field

Tools

Python

PyTorch

HPC

Distributed training

Large datasets

Job description

Applied Materials in Santa Clara, CA is seeking a researcher to develop next-generation AI models for semiconductor engineering by combining domain knowledge with ML. Build physics-aware surrogates and foundation models to accelerate simulation and design.

Work with experts to design scalable data generation, training, validation, and deployment workflows; publish innovations and drive adoption across engineering applications. This full-time role requires a PhD and strong ML background.