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Computational Modeling Simulation Multiphysics Jobs in Dallas, TX

Analogdevices

Senior Manager, Product Applications

Dallas, TX · On-site

$125K - $165K/yr

... modeling/simulation (MATLAB/Simulink, SPICE, multiphysics tools) RF, EMC, and mixedsignal test and measurement PCB design, mixedsignal debugging, and system bringup experience Integration of AI into ...

Shield AI

Senior Engineer, Aerospace (R5002)

Dallas, TX · On-site

$110K - $170K/yr

Develop High-Fidelity Models: Synthesize wind tunnel and numerical data into comprehensive ... Computational Efficiency: Proficiency in developing custom software or scripting (e.g., MATLAB ...

Cambium Learning Group

Principal Scientist

Dallas, TX · On-site +1

... science simulations, a math fact fluency solution, and a K-2 science solution), Voyager Sopris ... Our team uses state-of-the-art deep learning tools and models different modalities (e.g., speech ...

Sierra Nevada Corporation

Sr Mechanical Engineer

Plano, TX · Hybrid

$100K - $132K/yr

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

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Computational Modeling Simulation Multiphysics information

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$38.6K

$100.2K

$142.4K

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

As of Jul 13, 2026, the average yearly pay for computational modeling simulation multiphysics in Dallas, TX is $100,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $128,100.00 per year, depending on experience, location, and employer.

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 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 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 some common challenges faced by professionals in Computational Modeling Simulation Multiphysics roles, 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.
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Computational Modeling Simulation Multiphysics jobs near you
#53680 Postdoctoral Researcher in Computational Stochastic Programming

#53680 Postdoctoral Researcher in Computational Stochastic Programming

Southern Methodist University

Dallas, TX • On-site

$55K/yr

Full-time

Re-posted 6 days ago

Southern Methodist University rating

7.4

Company rating: 7.4 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

299th of 553 rated colleges and universities

Job description

Description
Description: The Department of Operations Research and Engineering Management within the Lyle School of Engineering at the Southern Methodist University seeks candidates for a Postdoctoral Research Associate in computational stochastic programming. The primary duties will include (i) active research involving modeling, optimization, simulation, and computer implementation of stochastic programming algorithms, (ii) manuscript development for peer-reviewed publications, and (iii) assistance with additional sponsored research activity.
Qualifications
Position Requirements:
  • Successful completion of a Ph. D. (by the time of joining) in Operations Research, Applied Mathematics, Computer Science, or other related engineering fields.
  • Must have experience in stochastic and/or discrete optimization. Additionally, exposure to modeling of infrastructure planning and operations problems will be beneficial.
  • Highly motivated to pursue computational aspects of optimization research.
  • Candidate must have excellent written and verbal communication skills with the ability to communicate effectively with a wide range of constituencies

Salary and term: The anticipated start date is August 1, 2025. The position is for one year with a renumeration of $55,000 and benefits.
Application Instructions
Review of applications will begin immediately. To ensure full consideration for the position, the application must be received by June 15, 2025. However, the committee will continue to accept applications until the position is filled. The committee will notify applicants of its employment decisions after the position is filled. Hiring is contingent upon the satisfactory completion of a background check.
Contact: For more information regarding the research project and the open position, interested candidates can contact Harsha Gangammanavar (harsha@smu.edu).
SMU Nondiscrimination Statement: SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression.

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