Computational Physicist – Fluid/Thermal Modeling, AI/ML New College Grad - Doctorate Degree (Santa Clara, CA)
About The Position
Applied Materials is the leader in materials engineering solutions to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. Our innovations make possible™ the technology shaping the future. To achieve this, we employ some of the best, brightest, and most talented people in the world who work together as part of a winning team. 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.
Requirements
- 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.
Nice To Haves
- 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
Responsibilities
- Develop and implement advanced computational models using physics‑based simulation tools and AI/ML techniques.
- Design fluid and thermal models
- Automate simulation workflows
- Analyze large data sets
- Contribute to the development and optimization of Ace+ software.
- Collaborate with cross‑functional engineering teams to solve complex problems, improve product designs, and support next‑generation chamber and process technology development.
Benefits
- You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers.
- We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company.
- At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
