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Qnity

Publicly-traded provider of semiconductor materials

CFD and Multiphysics Modeling Engineer

Thermal & Fluids EngineeringUpdated on Nov 14
Full-timeWilmington, DE, USANo salary listed

About the Job

Requirements

  • Knowledge of computational fluid dynamics (CFD), heat, mass, and transport phenomena.
  • A Master's degree and at least 3 years of relevant experience applying CFD, heat-transfer, or multiphysics modeling to engineering problems; relevant graduate research may count toward this experience.
  • A strong foundation in fluid mechanics, thermodynamics, heat and mass transfer, numerical methods, and mathematical modeling of physical systems.
  • Familiarity with turbulence modeling, multiphase flow, conjugate heat transfer, species transport, or other coupled transport phenomena.
  • Experience with model setup, meshing, solver configuration, numerical troubleshooting, postprocessing, and interpretation of simulation results.
  • Proficiency in Python, MATLAB, C++, or similar programming environments for simulation customization, workflow automation, data processing, and analysis.
  • Familiarity with model verification and validation, convergence assessment, sensitivity analysis, model calibration, parameter estimation, or uncertainty quantification.
  • Ability to work effectively across multidisciplinary and geographically distributed teams and balance scientific rigor, business priorities, available information, and project timelines.

Responsibilities

  • Serve as a central technical resource for application and product-development programs involving CFD, fluid flow, heat and mass transfer, and related multiphysics phenomena across the company's businesses.
  • Work with scientists, engineers, and business teams to translate application, product, and process challenges into clear modeling objectives.
  • Determine what should be modeled and select an appropriate scope, assumptions, dimensionality, and level of fidelity based on governing physics, available information, business objectives, and timelines.
  • Recognize when modeling can meaningfully support a program and identify when additional data, experiments, or other technical approaches are needed.
  • Model coupled phenomena such as fluid flow, heat and mass transfer, particle transport, electrochemistry, and mechanics as appropriate to the problem.
  • Develop and apply physics-based models involving fluid flow, heat transfer, mass transfer, and multiphysics phenomena.
  • Select and evaluate governing equations, physical models, material properties, boundary conditions, meshing approaches, and solver strategies.
  • Apply appropriate methods for turbulence, multiphase flow, conjugate heat transfer, species transport, and other relevant transport phenomena.
  • Develop user-defined functions or other custom model extensions when standard software capabilities are insufficient.
  • Balance model fidelity, accuracy, computational efficiency, available data, and project timing.
  • Evaluate model assumptions, numerical stability, convergence, mesh and time-step independence, sensitivity, solution robustness, and uncertainty as appropriate.
  • Partner with experimental scientists and engineers to define data needs and validation experiments, calibrate models, and compare predictions with measurements and physical observations.
  • Clearly communicate model accuracy, assumptions, uncertainty, and limitations.
  • Interpret simulation results to identify physical mechanisms, key performance drivers, and design tradeoffs.
  • Translate modeling insights into actionable recommendations for product design, application development, process optimization, experimental planning, and technical decision-making.
  • Communicate modeling approaches, results, and recommendations to modeling specialists and multidisciplinary project teams.
  • Build relationships with scientists and engineers across the company's businesses and increase awareness of central Engineering Science and Analytical modeling capabilities.
  • Identify opportunities where modeling can contribute to application development, product development, process improvement, customer support, and innovation.
  • Recognize technical challenges beyond CFD and heat transfer, including structural mechanics and other engineering disciplines, and connect teams with appropriate experts.
  • Develop reusable modeling methods, automated workflows, best practices, and technical documentation that support multiple programs and businesses.
  • Contribute to knowledge sharing and the long-term development of CFD, heat-transfer, transport-phenomena, and multiphysics capabilities.

Desired Qualifications

  • A Ph.D. in mechanical engineering or a related discipline, with a strong emphasis on computational fluid dynamics, heat and mass transfer, and transport phenomena.
  • Expertise in CFD with coupled heat, mass, and transport phenomena.
  • Advanced proficiency with commercial CFD or multiphysics simulation software; experience with ANSYS Fluent or COMSOL Multiphysics is preferred but not required.
  • Experience with turbulence modeling, multiphase flow, conjugate heat transfer, species transport, or other coupled transport phenomena.
  • Ability to develop user-defined functions or comparable custom model extensions.
  • High proficiency in Python, MATLAB, C++, or similar programming environments for simulation customization, workflow automation, data processing, and analysis.
  • Experience with simulation tools such as ANSYS, COMSOL, Abaqus, OpenFOAM, or comparable software.

About the Company

Qnity

Publicly-traded provider of semiconductor materials

Qnity will be an independent, publicly traded electronics materials company spun off from DuPont, serving the semiconductor and electronics industries. It offers materials and solutions for chip manufacturing and high-speed data transmission, with brands such as Pyralux laminates for flexible circuits, Laird thermal interface materials, Kalrez sealants, and Circuposit copper for interconnects. As a standalone company, it aims to differentiate itself through focused strategies, scale (about 10,000 employees, roughly 40 manufacturing sites, and 20 labs) and a broad global reach to support AI, high-performance computing, and advanced connectivity. Its goal is to become a leading global provider of electronic materials across sectors like data centers, automotive, aerospace, consumer electronics, and healthcare.

Company size
11-50
Company stage
IPO
Headquarters
Wilmington, DE
Founded
2024

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