2026 New College Grad - Computational Chemist / Materials Scientist (Machine Learning – Reactive MLIPs) - Doctorate Degree
Applied Materials
At a glance
AI generatedApplied Materials is hiring a computational physicist to join its plasma modeling team in Sunnyvale, CA. This senior-level position involves developing and implementing advanced physics-based simulation tools and AI/ML techniques for plasma, fluid, and thermal processes. The role requires automating simulation workflows using Python or MATLAB, analyzing large datasets, and contributing to the optimization of Ace+ software. You will collaborate closely with cross-functional teams to solve complex plasma-related challenges and support next-generation chamber and process technology development. Ideal candidates hold an advanced degree in a relevant engineering field with expertise in plasma physics, chemical kinetics, and fluid flow principles, along with experience using commercial plasma modeling tools like HPEM or ACE+. Proficiency in Python, MATLAB, C++, or Fortran is essential, as is the ability to apply machine learning techniques to enhance simulations.
Skills
What you'll do
What we're looking for
Market check
This $138,000–$190,000 range sits above 50% of similar postings on FindRole.
Peer median band
$121,250–$225,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$135,000–$212,025
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Applied Materials is the world''s largest supplier of equipment, services, and software for the semiconductor and display industries, enabling the production of chips and advanced displays. Industry: Semiconductor Equipment
Applied Materials currently has 65 open roles on FindRole.
Listed pay typically runs $141,000–$193,500 across 65 roles with salary data.
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