Applied Materials
Santa Clara, CA, USA
Computational Physicist – Fluid/Thermal Modeling, AI/ML New College Grad - Doctorate Degree (Santa Clara, CA)
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Applied Materials is seeking a highly skilled engineer to join its computational modeling team focused on fluid and thermal physics simulations. In this role, you will develop and implement advanced computational models using physics‑based simulation tools and AI/ML techniques. You will design fluid and thermal models, automate simulation workflows, analyze large data sets, and contribute to the development and optimization of Ace+ software. This position requires close collaboration with cross‑functional engineering teams to solve complex problems, improve product designs, and support next‑generation chamber and process technology development.
Qualifications:
- Advanced degree (M.S. or Ph.D.) in Mechanical, Electrical, Aerospace, Chemical Engineering, or a related field with specialization in fluid/thermal physics.
- Proven ability to apply fluid/thermal physics and chemical kinetics principles to solve challenging problems.
- Experience automating simulation workflows using Python, MATLAB, or similar scripting tools for data processing and large-scale analysis.
- Proficient in at least one programming language (Python, MATLAB, C, C++, or Fortran).
- Excellent written and verbal communication skills for effective collaboration across engineering teams.
Desirable Qualifications
- Hands-on experience applying machine learning techniques to enhance physics-based simulations, including: surrogate models. reduced-order models, uncertainty quantification
- Familiarity with open-source machine learning libraries and frameworks