Plasma Modeling Scientist - Multiphysics & ML

Applied Materials, Inc.; Santa Clara (CA); Vor Ort; USD 138.000 - 190.000; Vollzeit

Zusammenfassung

Applied Materials, Inc. is seeking a PhD-level scientist to model and simulate low-temperature plasmas and associated electromagnetic fields in semiconductor processing equipment in Santa Clara.

You will develop, extend and validate simulation codes, analyze results, and propose hardware design changes to improve performance. The role requires strong Python and C++ (or Fortran) skills, experience with numerical methods and high-performance computing, and the ability to collaborate across

Qualifikationen

• PhD in Physics, Applied Physics, Electrical, Chemical, or Mechanical Engineering, Applied Mathematics, or related technical discipline.

Aufgaben

• Model and simulate low-temperature DC and RF plasmas and electromagnetic fields in semiconductor processing equipment to support concept development, technology assessment, and product design.
• Develop, extend, validate, and test internal plasma, electromagnetic, and multiphysics simulation codes; apply commercial tools where appropriate.
• Analyze simulation results, compare with experimental data, and recommend hardware design changes to improve plasma uniformity, stability, and process performance.
• Explore physics-informed machine learning, surrogate modeling, and data-driven methods to accelerate simulation workflows and design optimization.
• Communicate modeling insights and recommendations clearly to product development and engineering teams.

Kenntnisse

Plasma physics

Numerical methods

Python

C++

Communication skills

RF physics

EM field simulation

Parallel programming

Physics-informed ML

Code collaboration

Ausbildung

PhD in Physics or related field

Tools

Git

Jobbeschreibung

Applied Materials, Inc. is seeking a PhD-level scientist to model and simulate low-temperature plasmas and associated electromagnetic fields in semiconductor processing equipment in Santa Clara.

You will develop, extend and validate simulation codes, analyze results, and propose hardware design changes to improve performance. The role requires strong Python and C++ (or Fortran) skills, experience with numerical methods and high-performance computing, and the ability to collaborate across