Jobs in the United States

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Added 1 min ago
Quality Engineer Intern
Keysight Technologies, Inc.
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Added 2 mins ago
O
Lead Principal Software Development Engineer
Oracle
Montpelier, VT
- $135,200 to $306,400 USD / year
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Added 2 mins ago
UO
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Added 2 mins ago
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Added 2 mins ago
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Added 2 mins ago
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Dev Lead
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2+ years as a senior or principal engineer with design, implementation, and operational ownership.
Added 5 mins ago
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Mechanical Engineer Intern - Life Sciences
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Added 9 mins ago
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Added 14 mins ago
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Added 24 mins ago
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Added 24 mins ago
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Added 41 mins ago
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Added 48 mins ago
OSC Facilities Support Engineer I
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Added 51 mins ago
Staff Solutions Engineer - FDSE - Splunk (Remote)
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Qnity

CFD and Multiphysics Modeling Engineer

Wilmington, DE, United States

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Job details

Experience: Master’s Degree with 3+ years of relevant experience applying CFD, heat-transfer, or multiphysics modeling to engineering problems.
Posting language: English
Posted: Oct 31, 2026

Original job description

Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.

At Qnity , we’re more than a global leader in materials and solutions for advanced electronics and high-tech industries – we’re a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.

Position Description

The Applied Engineering team is part of Qnity Electronics' leveraged Engineering Science and Analytical central organization. We partner with Qnity businesses to address complex engineering challenges and support application development, product development, process improvement, and technical decision-making.

We are seeking a CFD and Multiphysics Modeling Engineer to develop and apply computational fluid dynamics, heat-transfer, mass-transfer, and related multiphysics models across Qnity's businesses. The engineer will work closely with scientists, engineers, and product-development teams to frame technical problems, select appropriate modeling approaches, and translate simulation results into practical engineering guidance.

A key objective of this role is to establish confidence in simulation-driven decision-making by ensuring models are physically meaningful, numerically reliable, appropriately validated, and aligned with business needs and program timelines. The ideal candidate will bring strong fundamentals, sound engineering judgment, curiosity, and the ability to build productive relationships across a broad technical organization.

Key Responsibilities:

Technical Problem Definition

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 Qnity'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 the 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.

Physics-Based Modeling and Simulation

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.

Model Reliability and Validation

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.

Engineering Insight and Business Impact

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 clearly to both modeling specialists and multidisciplinary project teams.

Cross-Business Collaboration and Capability Development

Build strong relationships with scientists and engineers across Qnity's businesses and increase awareness of the modeling capabilities available through the central Engineering Science and Analytical organization.
Proactively 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 the appropriate experts within the organization.
Develop reusable modeling methods, automated workflows, best practices, and technical documentation that can support multiple programs and businesses.
Contribute to knowledge sharing and the long-term development of Qnity's CFD, heat-transfer, transport-phenomena, and multiphysics capabilities.

Required Qualifications:

CFD with knowledge of heat, mass and transport phenomena
Master’s Degree with 3+ years of relevant experience applying CFD, heat-transfer, or multiphysics modeling to engineering problems. Relevant graduate research may be considered as part of this experience.
Strong foundation in fluid mechanics, thermodynamics, heat and mass transfer, numerical methods, and the 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, or MATLAB, or 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.
Strong interpersonal, collaboration, and communication skills, with the ability to work effectively across multidisciplinary and geographically distributed teams.
Ability to balance scientific rigor, business priorities, available information, and project timelines.

Preferred Qualifications:

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 of CFD with coupled heat, mass and transport phenomena
Advanced proficiency with commercial CFD or multiphysics simulation software. Experience with ANSYS Fluent or COMSOL Multiphysics, Qnity's primary simulation platforms, is preferred but not required; candidates with strong fundamentals and the ability to learn new tools will be considered.
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.
Highly proficient in utilizing 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.

#Hybrid

#WilmingtonDE

Join our Talent Community (https://careers.qnityelectronics.com/us/en/jointalentcommunity) to stay connected with us!

Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information (https://www.qnityelectronics.com/accessibility.html) .

Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page (https://careers.qnityelectronics.com/us/en/compensation-and-benefits-final) .

We use Artificial Intelligence (AI) to enhance our recruitment process.

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