Scientist II, Modeling & Simulation

Entegris•Aurora, IL

7d•$95,000 - $120,000•Onsite

About The Position

Entegris is seeking a Scientist II, Modeling & Simulation to join its team at the Aurora, Illinois facility. The Modeling & Simulation team uses computational methods to understand material properties, evaluate potential materials and formulations, and generate insights supporting semiconductor technology development. The Scientist II contributes to atomistic, molecular, and data modeling and simulation work by applying established computational methods, models, and tools. Working with experienced team members and cross-functional partners, this role supports projects involving a variety of materials and semiconductor applications. The position also supports evaluation and application of AI-based tools for material development, and contributes to refining modeling methods based on project results, feedback, and technical guidance.

Requirements

Strong communication and collaboration skills.
Ability to work effectively with different stakeholders and within cross-functional teams.
Basic understanding of semiconductor processes and/or materials.
M.S. in Chemistry, Materials Science, Chemical Engineering, Physics, or a related field, with a focus on computational chemistry, molecular dynamics, materials modeling, or a related discipline.
Working knowledge of atomistic, molecular, or data modeling and simulation using commercial or open-source software.
Familiarity with LINUX environments and one or more modeling and simulation tools such as LAMMPS, GROMACS, Quantum ESPRESSO, CP2K, VASP, xTB, or COSMO-RS/SAC.
Working knowledge of Python or C/C++ for computational modeling, data analysis, or AI/ML applications; Python is preferred.
Ability to collaborate with team members and stakeholders to understand project requirements and execute assigned modeling and simulation work.
Ability to apply established computational approaches and methods to technical problems.
Ability to deliver accurate, high-quality modeling and simulation results within established project timelines.
Ability to analyze results, identify issues, and make appropriate adjustments with guidance from more experienced team members.
Willingness to learn new modeling, simulation, and AI/ML tools and approaches.
Ability to apply modeling and simulation techniques across different materials, products, and processes.
Commitment to continuous learning and development.

Nice To Haves

Exposure to or familiarity with AI/ML tools and approaches used in material development, such as ChemProp, MLIP, FM4M, AiZynthFinder, Transformers, message-passing approaches, or self-attention architectures.
Experience with molecular design, retrosynthesis, data modeling, or material informatics.

Responsibilities

Execute established atomistic, molecular, and data modeling and simulation methods to support material and technology development projects.
Work with experienced team members and project stakeholders to understand technical problems and translate defined requirements into modeling and simulation activities.
Apply established approaches, including DFT, DFTB, Molecular Dynamics, and data modeling, to generate technical insights and support project objectives.
Generate DFT training sets to support fine-tuning of Machine Learning Interatomic Potentials (MLIP) for Molecular Dynamics modeling and simulation.
Support the evaluation and application of AI-based tools for material development.
Analyze, document, and communicate modeling and simulation results to project team members and stakeholders.
Follow established models, parameters, codes, procedures, calculations, and documentation practices to support consistency and reuse across similar applications.
Contribute to improvements in modeling and simulation methods based on project results, feedback, and technical guidance.
Collaborate with R&D staff, technologists, FAE, and other internal stakeholders on assigned modeling and simulation projects.