About The Position

Entegris is seeking a Modeling & Simulation (M&S) Engineer to join its Digital Solutions Enablement team. The role applies established models to simulate products and product derivatives, interprets results, and validates model predictions against empirical data. It makes validated models available to business users through AI-enabled tools and standard operating procedures, supported by training and first-line application support. The role partners 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. It also contributes to AI-enabled tools that support scientific and engineering workflows.

Requirements

  • Master’s degree in mechanical engineering, chemical engineering, aerospace engineering, or a related engineering field.
  • Five years of relevant industry experience.
  • Strong knowledge of fluid dynamics, heat transfer, engineering design, and numerical modeling.
  • Three years of experience using commercial simulation software such as Ansys, Abaqus, or COMSOL, or open-source software such as OpenFOAM.
  • Proficiency with CAD software such as SolidWorks or Creo, including geometry preparation for simulation.
  • Experience using high-performance computing (HPC) clusters and scaling simulations in cloud environments.
  • Experience applying modeling and simulation to scientific or engineering problems and translating R&D questions into clearly defined modeling requirements.
  • Experience validating models and collaborating with product development or laboratory teams to define and obtain relevant experimental data.
  • Ability to deploy established models and workflows for researchers with varying levels of modeling experience.
  • Experience training technical users and troubleshooting modeling or scientific application issues.
  • Strong written and verbal communication skills and ability to collaborate across R&D teams and with modeling specialists.
  • Ability to identify limitations in existing tools, capture user needs, and communicate actionable recommendations to guide future development.

Nice To Haves

  • Industry experience in the semiconductor, aerospace, or oil and gas sectors.
  • Experience with manufacturing process simulation, including blow molding or injection molding.
  • Experience automating simulation or engineering workflows using Python, MATLAB, or C++.
  • Familiarity with AI-enabled scientific workflows or experience contributing to AI/Digital Scientist development.
  • A track record of enabling R&D teams outside specialist modeling groups to adopt standardized modeling workflows.
  • Hands-on experience developing AI assistants or agents for scientific or engineering applications.
  • Demonstrated success converting recurring user questions and unmet needs into improvements to models, tools, or scientific workflows.
  • A strong commitment to simulation-driven design and continuous technical learning.
  • Demonstrated commitment to the company’s long-term success and ability to tackle complex challenges.
  • Exemplifies Entegris’ core values: Integrity, Innovation, Teamwork, and Dedication to Excellence.

Responsibilities

  • Perform multiphysics simulations, including computational fluid dynamics (CFD) and finite element analysis (FEA), involving fluid flow, heat transfer, structural mechanics, and product design.
  • Analyze and interpret simulation results, communicate key findings, and identify opportunities to improve products and designs.
  • Deploy standardized M&S capabilities for R&D users through AI-enabled tools and standard procedures.
  • Validate models against empirical data using simulation results and improve their predictive performance.
  • Partner with business unit R&D teams to understand technical challenges and define executable modeling requests with clear inputs, assumptions, and expected outputs.
  • Develop application guidance, train technical users, and provide first-line support so researchers can use models and workflows effectively.
  • Capture unmet needs, recurring issues, and application gaps, and provide actionable feedback to the Core M&S Team.
  • Collaborate with modeling specialists and R&D users to develop AI-enabled tools for scientific and engineering workflows.

Benefits

  • Generous 401(K) plan with an employer match.
  • Health, dental, and vision insurance packages.
  • Flexible work schedule.
  • 11 paid holidays a year.
  • Paid time off (PTO) policy.
  • Education assistance.
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