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Scientific AI Engineer at Applied Materials - ApplyBlast

Scientific AI Engineer

Applied Materials

2 months ago

3.9 on Glassdoor

Santa Clara, California, United States

Onsite

Full Time

Senior

0 applicants

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About this role

The role focuses on developing next‑generation AI models for semiconductor engineering by integrating domain science with modern machine learning. Responsibilities include creating physics‑aware surrogate, operator‑learning, and foundation models, building scalable data and training pipelines, and collaborating with experts to solve complex engineering challenges.

Responsibilities

Develop scientific AI models that integrate physics‑based simulation and machine learning
Design and train surrogate, operator‑learning, and foundation models for engineering simulations
Collaborate with domain experts to formulate AI solutions for complex engineering challenges

Skills

Qualifications

Ph.D. in Mechanical EngineeringPh.D. in Chemical EngineeringPh.D. in Materials SciencePh.D. in PhysicsPh.D. in Applied Mathematics

About Applied Materials

appliedmaterials.com

Headquarters

Santa Clara, California, United States

Company Size

10001+ employees

Founded

1967

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Applied Materials is a global leader in materials engineering solutions that enable the production of virtually every new semiconductor chip and advanced display. The company designs, manufactures and services equipment, software and process technologies across semiconductor fabrication (deposition, etch, implantation, inspection/metrology, CMP, ALD/CVD/PVD), advanced packaging and display manufacturing. Its customers include chipmakers, foundries and display manufacturers worldwide, and it provides process integration, factory automation and lifecycle services to improve yield, performance and cost. Headquartered in Santa Clara, California, Applied Materials combines deep R&D and scale to drive device scaling, energy efficiency and new architectures.