Job Title:
Lead Scientist, Modeling & Simulation
Job Description:
The Role:
Entegris is currently seeking a seeking a Modeling & Simulation (M&S) Engineer to join our Digital Solutions Enablement team. In this role, you will perform simulations of products and product derivatives using established models. You will interpret the results and validate model predictions against empirical data. You will then deploy validated models for business users through AI-enabled tools and standard operating procedures (SOPs), supported by training and first-line application support. You will also work with business unit R&D teams and the Core M&S Team to translate scientific and engineering challenges into clear modeling requirements and fit-for-purpose solutions
What You’ll Do:
Perform simulations. Apply established models to conduct multiphysics simulations, computational fluid dynamics (CFD), finite element analysis (FEA), involving fluid flow, heat transfer, structural mechanics, and design for products and product derivatives.
Analyze and interpret results. Evaluate simulation results, communicate key findings, and identify opportunities to improve existing products and designs.
Deploy models and workflows. Make standardized M&S capabilities accessible to R&D users through AI-enabled tools and standard procedures to help them to address technical challenges.
Validate simulations. Use simulation results to validate models against empirical data and improve prediction
Translate R&D needs into modeling requests. Partner with business unit R&D teams to understand technical challenges and define executable M&S requests with clear inputs, assumptions, and expected outputs.
Train and support users. Develop application guidance, deliver training, and provide first-line support so researchers can use models and workflows effectively.
Connect user needs with core development. Capture unmet needs, recurring issues, and application gaps, and provide actionable feedback to the Core M&S Team.
Contribute to AI/Digital Scientists. Collaborate with modeling specialists and R&D users to develop AI-enabled tools that support scientific and engineering workflows.
What We Seek:
Minimum Qualifications
Master’s degree in mechanical engineering, chemical engineering, aerospace engineering
Five years of relevant industry experience applying modeling and simulation to scientific or engineering problems
Strong knowledge of fluid dynamics, heat transfer, engineering design, and numerical modeling methods
Three years of hands-on experience with commercial simulation software, such as Ansys, Abaqus, or COMSOL, and/or open-source tools, such as OpenFOAM
Proficiency with CAD software, such as SolidWorks or Creo, including geometry preparation for simulation
Ability to translate R&D questions into well-defined modeling requirements, including inputs, assumptions, and expected outputs
Experience running simulations on high-performance computing (HPC) clusters or in cloud computing environments
Experience validating models and partnering with product or laboratory teams to define and obtain relevant experimental data
Experience deploying established models and workflows for users with varying levels of modeling expertise
Experience training technical users and troubleshooting modeling or scientific application issues
Strong written and verbal communication, collaboration, and stakeholder-management skills
Ability to identify limitations in existing tools, synthesize user feedback, and communicate requirements to modeling specialists and R&D stakeholders
Preferred Qualifications
Experience in the semiconductor, aerospace, or oil and gas industry
Experience automating simulation or engineering workflows using Python, MATLAB, or C++
Familiarity with AI-enabled scientific workflows or experience contributing to the development of AI-powered tools for scientific or engineering applications
Outstanding Candidates Will Have:
Demonstrated success enabling R&D teams outside…