KEY RESPONSIBILITIES * Model and simulate low-temperature DC and RF plasmas (e.g., inductively and capacitively coupled discharges) 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, and apply commercial simulation tools where appropriate. * Analyze simulation results, compare against experimental data, and recommend hardware design changes that improve plasma uniformity, stability, and process performance. * Explore and apply physics-informed machine learning, surrogate modeling, and other data-driven methods to accelerate simulation workflows and design optimization. * Communicate modeling insights and recommendations clearly to product development and engineering teams, and serve as a technical resource on plasma physics and electromagnetic phenomena. TECHNICAL SKILLS Required * Demonstrated experience in plasma physics simulation and modeling, preferably of low-temperature or partially ionized plasmas * Experience developing or applying numerical methods for plasma, electromagnetic, or multiphysics problems (e.g., fluid, hybrid, or particle-in-cell/Monte Carlo collision models) * Proficiency in Python and at least one compiled language (C++ or Fortran) * Strong written and verbal communication skills and the ability to work effectively in cross-functional teams Preferred * Knowledge of RF discharge physics, sheath dynamics, electron kinetics, or plasma chemistry and plasma–surface interactions * Experience with RF/electromagnetic field simulation (e.g., finite element or finite-difference time-domain Maxwell solvers) * Experience with parallel programming (MPI, OpenMP, or GPU/CUDA) and high-performance computing (HPC) environments * Experience with scientific machine learning, surrogate modeling, physics-informed neural networks, or other data-driven approaches for computational physics * Experience developing scientific software collaboratively, including version control (e.g., git), code review, and testing practices REQUIREMENTS / EDUCATION * PhD in Physics, Applied Physics, Electrical, Chemical, or Mechanical Engineering, Applied Mathematics, or a related technical discipline * 0–3 years of relevant post-PhD experience (postdoctoral research counts toward experience; recent graduates are encouraged to apply) ## Qualifications ### Education: Bachelor's Degree ### Skills ### Certifications: ### Languages: ### Years of Experience: 4 - 7 Years ### Work Experience: ## Additional Information ### ### Shift: 10-Day 8-Hr (United States of America) ### ### Travel: Yes, 10% of the Time ### ### Relocation Eligible: Yes ### Referral Payment Plan: Employee Referral (Standard) Salary Range: $138,000.00 - $190,000.00 The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.