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Computational Modeling Simulation Multiphysics Jobs in Dallas, TX

Shield AI

Senior Engineer, Aerospace (R5002)

Dallas, TX · On-site

$103.40K - $142K/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 ...

MP Materials Corp.

Senior Engineer, Metal Making

Fort Worth, TX · On-site

$93.90K - $129K/yr

Experience with thermodynamic modeling software such as FactSage and simulation tools such as finite element analysis and computational fluid dynamics. * Experience with programming, and the ability ...

Raytheon

Antenna Design Engineer II

Mckinney, TX

Use advanced computational electromagnetic (CEM) software (HFSS, CST, FEKO, SENTRi) to design ... Electromagnetic modeling and simulation experience with conformal antennas or airborne apertures.

Raytheon

Antenna Design Engineer II

Mckinney, TX

Use advanced computational electromagnetic (CEM) software (HFSS, CST, FEKO, SENTRi) to design ... Electromagnetic modeling and simulation experience with conformal antennas or airborne apertures.

Firehawk Aerospace Inc

Analysis Manager

Addison, TX · On-site

The candidate will mentor the team and provide modeling and simulation best practices, support ... Thermal Analysis, Structural Analysis, Computational Fluid Dynamics, and/or Combustion * Minimum of ...

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 ...

Gensler

Design Technology Project Lead

Dallas, TX

Identify and resolve opportunities around model management to optimize performance and user ... Computational Design - Grasshopper, Dynamo * Building Performance Simulation - Climate Studio ...

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Computational Modeling Simulation Multiphysics information

See Dallas, TX salary details

$38.6K

$100.2K

$142.4K

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

As of May 31, 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 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 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.

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 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.

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Computational Modeling Simulation Multiphysics jobs near you
Senior Engineer, Aerospace (R5002)

Senior Engineer, Aerospace (R5002)

Shield AI

Dallas, TX • On-site

$103.40K - $142K/yr

Full-time

Posted 8 days ago

Job description

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
The Flight Sciences team at Shield AI integrates stability & control, aerodynamics, performance, and aero-propulsion to redefine the limits of unmanned aviation. As a member of this team, you will bridge the gap between theoretical design and flight testing. We aren't just analyzing data; we are building the future of autonomous flight. If you thrive in high-tempo, collaborative environments where your work moves quickly from concept to reality, we want you on our team.
What you'll do:
  • Drive Wind Tunnel Testing: Play a key role in supporting an aggressive wind tunnel test campaign by defining requirements, overseeing model fabrication, and developing run plans that yield actionable aerodynamic insights.
  • Develop High-Fidelity Models: Synthesize wind tunnel and numerical data into comprehensive aerodynamic models (including propulsion, hinge moment, and flexibility effects) used across the enterprise for mission-critical simulation and analysis.
  • Enable Safe Separation: Develop the specialized tools and methodologies required for internal and external stores separation analysis.
  • Integrate Air Data Systems: Partner with cross-disciplinary teams to define sensor locations, system architecture and calibration algorithms that meet accuracy and redundancy requirements
  • Create System Level Solutions: Solve multifaceted design challenges by collaborating with structures, avionics, and propulsion teams to create highly optimized, balanced solutions.
Required qualifications:
  • Education: B.S. in Aerospace or Mechanical Engineering (or equivalent technical field).
  • Core Expertise: 3+ years of experience in Stability & Control, with a mastery of aerodynamics, 6DOF model development, and flying qualities analysis.
  • Testing Background: Proven experience in wind tunnel testing and translating experimental data into simulation environments.
  • Character: A demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to a high standard, and being kind to others.
Preferred qualifications:
  • Computational Efficiency: Proficiency in developing custom software or scripting (e.g., MATLAB, Python) to automate workflows and maximize team throughput.
  • Advanced Control Systems: Experience with optimization of aircraft planforms and control suite which provide adequate stability and maneuverability, particularly for tailless aircraft or non-traditional configurations.
  • Propulsion Integration: Expertise in the unique stability and control challenges associated with high-performance aero-propulsion integration.
  • Problem Solving: A proven ability to take on complex, ill-defined assignments and deliver creative, "best-value" engineering solutions.
#LC

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.

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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. 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.