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Modeling And Simulation Jobs in Texas (NOW HIRING)

Lockheed Martin Corporation

Our team is responsible for process engineering, modeling, simulation, and visual representation of factory production systems, as well as managing R&D investments across digital operations. What You ...

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All JobsModeling And Simulation JobsModeling And Simulation Jobs in Texas

Modeling And Simulation information

See Texas salary details

$36.3K

$94.3K

$134.2K

How much do modeling and simulation jobs pay per year?

As of Jun 9, 2026, the average yearly pay for modeling and simulation in Texas is $94,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $120,600.00 per year, depending on experience, location, and employer.

What is the difference between Modeling And Simulation vs Data Analyst?

AspectModeling And SimulationData Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; often certifications in simulation softwareBachelor's in statistics, mathematics, or related fields; certifications in data analysis tools
Work EnvironmentResearch labs, engineering firms, government agenciesBusiness, finance, healthcare, or tech companies
Industry UsageEngineering, defense, aerospace, manufacturingFinance, marketing, healthcare, technology
Common Search & ComparisonModeling And Simulation vs Data Analyst

While both roles involve data and technical skills, Modeling And Simulation focuses on creating models to predict and analyze systems, often in engineering or scientific contexts. Data Analysts interpret data to inform business decisions. The roles share skills but differ in application and industry focus.

What are the key skills and qualifications needed to thrive as a Modeling and Simulation Specialist, and why are they important?

To thrive as a Modeling and Simulation Specialist, you need strong analytical abilities, proficiency in mathematics, and a background in computer science or engineering, often supported by a relevant degree. Expertise with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and knowledge of modeling standards is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate models, effective simulations, and actionable insights that drive decision-making in complex systems.

What are some common challenges faced by professionals in Modeling and Simulation roles, and how can they be addressed?

Professionals in Modeling and Simulation often encounter challenges such as integrating complex data from multiple sources, ensuring model accuracy, and communicating technical results to non-technical stakeholders. Addressing these challenges typically involves close collaboration with subject matter experts, ongoing model validation and verification, and using clear visualizations to explain insights. Building strong interdisciplinary communication skills and staying current with evolving simulation tools can also help professionals effectively navigate these challenges.

What are modeling and simulation jobs?

Modeling and simulation jobs involve creating digital or mathematical models to represent real-world systems, processes, or phenomena, and then using simulations to analyze their behavior under various scenarios. Professionals in this field use specialized software and computational techniques to predict outcomes, optimize designs, and inform decision-making in industries like engineering, defense, healthcare, and manufacturing. These roles often require strong analytical skills, proficiency in programming, and a background in mathematics or science. Modeling and simulation experts help organizations save time and resources by testing ideas virtually before applying them in real life.
What are popular job titles related to Modeling And Simulation jobs in Texas? For Modeling And Simulation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Modeling And Simulation jobs in Texas look for? The top searched job categories for Modeling And Simulation jobs in Texas are:
What cities in Texas are hiring for Modeling And Simulation jobs? Cities in Texas with the most Modeling And Simulation job openings:
Modeling And Simulation jobs near you
Infographic showing various Modeling And Simulation job openings in Texas as of June 2026, with employment types broken down into 76% Full Time, 14% Part Time, 5% Temporary, and 5% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $94,335 per year, or $45.4 per hour.
Senior Engineer, Aeronautical Modeling & Simulation (Dallas/San Diego) (R4538)

Senior Engineer, Aeronautical Modeling & Simulation (Dallas/San Diego) (R4538)

Shield AI

Dallas, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

JOB DESCRIPTION:
 
The Software Integration & Operations (SIO) group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic aircraft and mission simulation, HIL/VIL integration, CI/CD, automated flight qualification testing, and release engineering. Our goal is simple: make AI fly—safely, repeatably, and fast.  
 
As a Modeling & Simulation Engineer, you will be responsible for improving and adding to our world and aeronautical models so that our operator training and internal engineering pipelines have a seamless translation from sim to real results. 
 
What You'll Do
  • Develop and enhance aeronautical physics models (aerodynamics, propulsion, environmental, structural, etc.) for use in simulation and evaluation.
  • Translate theoretical models into efficient, reliable C++ implementations with a focus on numerical accuracy and performance. 
  • Validate models against real-world data and authoritative references, including field test data and calibration procedures. 
  • Collaborate with simulation and training application teams to ensure models integrate cleanly into operator-facing tools. 
  • Design automated validation and regression testing strategies for mathematical models to ensure fidelity across releases. 
  • Prototype and evaluate new modeling techniques (reduced-order models, uncertainty quantification, machine learning–based surrogates) to push the state of the art. 
  • Document assumptions, equations, and validation results so that both engineers and operators can trust model outputs. 
Required Qualifications
  • BS or higher in Aerospace Engineering, Applied Math, Physics, or related field with 1+ years of aerospace modeling experience. 
  • C++ foundation with experience implementing numerical methods. 
  • Demonstrated experience with aerospace models such as: Aerodynamics (lift/drag curves, stability derivatives, dynamic response), Atmosphere/environment (COESA, ICAO, gravity, wind models), Vehicle dynamics.
Preferred Qualifications
  • 1+ years of experience working on pilot/operator training systems. 
  • Experience with Eigen or SciPy for model prototyping and validation. 
  • Familiarity with state estimation sensor models (GPS, IMU, Gyro, etc) for simulation environments. 
  • Background in multi-body dynamics or flight mechanics
  • Knowledge of uncertainty quantification and statistical analysis methods. 
  • Strong problem-solving mindset with a collaborative and detail-oriented approach. 
  • Familiarity with Python for test automation and data analysis pipelines. 
  • Passion for aerospace and autonomous vehicle systems. 
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