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Computational Modeling Simulation Multiphysics Jobs in Carrollton, TX

... Simulation such as Finite Element structural Analysis (FEA), Computational Fluid Dynamics (CFD ... model-based definition, material hardware selection, manufacturing, and production processes.

... Engineering Simulation such as Finite Element structural Analysis (FEA), Computational Fluid ... model-based definition, material hardware selection, manufacturing, and production processes.

... Simulation such as Finite Element structural Analysis (FEA), Computational Fluid Dynamics (CFD ... model-based definition, material hardware selection, manufacturing, and production processes.

Computational methods are expected to include thermodynamic modeling, materials informatics, machine learning, atomistic simulations, molten metal fluid dynamics, image-based microstructure analysis ...

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Computational Modeling Simulation Multiphysics information

See Carrollton, TX salary details

$37.6K

$97.7K

$139K

How much do computational modeling simulation multiphysics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for computational modeling simulation multiphysics in Carrollton, TX is $97,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,800.00 and $125,000.00 per year, depending on experience, location, and employer.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

What are common challenges faced by professionals in computational modeling simulation multiphysics, and how can they be addressed?

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.

What are the key skills and qualifications needed to thrive as a computational modeling simulation multiphysics engineer, and why are they important?

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What is the difference between Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

What job categories do people searching Computational Modeling Simulation Multiphysics jobs in Carrollton, TX look for?

The top searched job categories for Computational Modeling Simulation Multiphysics jobs in Carrollton, TX are:

What cities near Carrollton, TX are hiring for Computational Modeling Simulation Multiphysics jobs?

Cities near Carrollton, TX with the most Computational Modeling Simulation Multiphysics job openings:

Infographic showing various Computational Modeling Simulation Multiphysics job openings in Carrollton, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $97,739 per year, or $47 per hour.

Engineer II, Thermal Design and Analysis (R4934)

Shield AI Inc

Dallas, TX • On-site

$88K - $132K/yr

Other

Re-posted 17 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
Are you a passionate and innovative thermal engineer looking to help develop state-of-the-art AI and aircraft products? Are you eager to make a positive difference in the world? Do you want to work alongside mission driven and values focused teammates? Shield AI is just the place for you!
As a Thermal Engineer at Shield AI, you will own the design, analysis, and integration of thermal management systems for the launch and recovery system structural and electronics components. This role is best suited for an engineer who thrives on first-principles problem solving, is comfortable with ambiguous, open-ended challenges, and can communicate well across functions, ensuring well- coordinated thermal management solutions.
You'll work across disciplines to ensure structural integrity, manufacturability, and mission-readiness in one of the most advanced autonomous aircraft platforms being built today. This role is ideal for an experienced thermal engineer who thrives in fast-paced, high-ownership environments and is passionate about building systems that matter.
What you'll do:
  • Own thermal solutions for the autonomous aircraft launch and recovery system
  • Develop and validate analytical, numerical, and computational models for heat transfer and fluid flow using hand calculations and CFD tools such as FloEFD.
  • Prototype, test, and iterate mechanism designs for functionality and reliability
  • Provide technical leadership in trade studies, system architecture decisions, and risk assessments.
  • Drive test planning, instrumentation, and data analysis to correlate models with experimental results.
  • Proactively identify risks, propose solutions, and influence mechanical, electrical and/or PCBA design direction.
  • Collaborate with mechanical, electrical, avionics, flight controls, manufacturing, and test teams
  • Support pre-production builds, prototype integration, and ground/flight testing on the pathway to production and field deployment
  • Participate in design reviews, architecture discussions, and technical decision-making forums related to structural systems.
  • Identify opportunities to improve design processes, configuration management, and team workflows for increased engineering velocity and design quality.

Required qualifications:
  • B.S. in Mechanical Engineering, Aerospace Engineering, or related discipline.
  • 2+ years of professional experience in thermal engineering.
  • Strong expertise in heat transfer (conduction, convection, radiation) and fluid mechanics.
  • Strong understanding of active and passive cooling solutions and their integration at component and system level.
  • Understanding of thermal management design elements including TIMs, spreaders, heat sinks, vapor chambers, heat pipes, and fans
  • Proficiency with thermal analysis and CFD tools (e.g., ANSYS Icepak, FloEFD, STAR-CCM+).
  • Experience with CAD design tools such as NX, SolidWorks, or similar.
  • Demonstrated experience applying first-principles reasoning to complex engineering problems.
  • Strong written and verbal communication skills.
  • Proven ability to learn and adapt quickly to new tools, processes, and technical challenges in a fast paced, startup environment.
  • A demonstrated record of working hard, being trustworthy, holding yourself to high standards, and being kind to others
  • Ability to obtain a S//SAR level security clearance desired.

Preferred qualifications:
  • M.S. in a relevant engineering discipline.
  • Hands-on experience with thermal and fluid system testing, instrumentation, and validation.
  • Knowledge of materials and manufacturing methods relevant to thermal management
  • MIL-STD-810, structural, or actuated mechanism testing experience
  • Ability to thrive in startup, R&D, or defense innovation environments

$88,075 - $132,113 a year
#LI-MS1
#LB
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.