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Modeling And Simulation Engineer Jobs in Dallas, TX

InfoVision, Inc.

Simulation Engineer

Irving, TX · On-site

Simulation Engineer, Irving, TX As a Simulation Engineer for the Digital Twin platform, you will be responsible for building various simulation models (Digital Twins), which will enable businesses to ...

InfoVision, Inc.

Simulation engineer

Irving, TX · On-site

Experience in digital twin modeling, simulation, optimization using anylogic Matlab etc ... Experience/ familiarity in building and engineering digital twins solutions with simulation ...

Kiongroup

Simulation Engineer

Plano, TX · On-site +1

$65K - $140K/yr

You'll use simulation and 3D modeling tools, including AutoMod, to assess and optimize automated ... Collaborate with engineering, sales, project management, and other partners to define requirements ...

Kiongroup

Simulation Engineer

Plano, TX · On-site +1

$65K - $140K/yr

You'll use simulation and 3D modeling tools, including AutoMod, to assess and optimize automated ... Collaborate with engineering, sales, project management, and other partners to define requirements ...

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All JobsModeling And Simulation Engineer JobsModeling And Simulation Engineer Jobs in Dallas, TX

Modeling And Simulation Engineer information

See Dallas, TX salary details

$38.6K

$122.1K

$188.4K

How much do modeling and simulation engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for modeling and simulation engineer in Dallas, TX is $122,071.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $144,900.00 per year, depending on experience, location, and employer.

What is a modeling and simulation engineer?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

What are the key skills and qualifications needed to thrive as a modeling and simulation engineer?

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

What are some common challenges a modeling and simulation engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

Are modeling and simulation engineers in demand?

Modeling and simulation engineers are in high demand across industries such as aerospace, defense, automotive, and healthcare due to their expertise in developing complex models and simulations. The role often requires proficiency in programming, simulation software, and systems analysis, with job growth driven by technological advancements and increased reliance on virtual testing and training tools.

How to become a modeling and simulation engineer?

To become a modeling and simulation engineer, typically a bachelor's degree in engineering, computer science, or a related field is required, often complemented by experience with simulation software, programming languages, and systems modeling. Advanced roles may require a master's degree or higher, along with skills in data analysis, systems engineering, and familiarity with tools like MATLAB, Simulink, or C++. Certifications in systems modeling or simulation can enhance job prospects.

What are popular job titles related to Modeling And Simulation Engineer jobs in Dallas, TX?

For Modeling And Simulation Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Modeling And Simulation Engineer jobs in Dallas, TX look for?

The top searched job categories for Modeling And Simulation Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Modeling And Simulation Engineer jobs?

Cities near Dallas, TX with the most Modeling And Simulation Engineer job openings:

Modeling And Simulation Engineer jobs near you
Infographic showing various Modeling And Simulation Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $122,071 per year, or $58.7 per hour.

Simulation Engineer

InfoVision, Inc.

Irving, TX • On-site

Other

Re-posted 23 days ago

Job description

Simulation Engineer, Irving, TX

As a Simulation Engineer for the Digital Twin platform, you will be responsible for building various simulation models (Digital Twins), which will enable businesses to conduct many what-if ' scenarios pertaining to a given use case/strategy.

Experience

  • 5+ years of experience in designing and developing enterprise-level digital twin modeling, simulation, and optimization solutions
  • 3+ years with System dynamics, Discrete events and Agent based modeling using tools such as AnyLogic
  • MS or BS in Computer Science, Math, Physics, Information Science, Engineering or other related field

Skill

  • Experience in digital twin modeling, simulation, optimization using anylogic Matlab etc
  • Experience/ familiarity in building and engineering digital twins solutions with simulation techniques
  • Knowledge of Artificial Intelligence and machine learning (AI/ML) techniques
  • Experience in data driven approach to analyze problems and deliver robust, optimized solutions
  • Experience with various database technologies like RDBMS, Big Data technologies
  • Experience with Java, Python, C+
  • Experience working with BI tools like Tableau, Looker, Qlik, etc.
  • Experience in building, hosting applications in Google Cloud Platform kubernetes is a plus
  • Familiarity with IoT understanding from connectivity and data management perspective
  • Knowledge of architecting and managing end to end solutions and perform root cause analysis

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