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Systems Simulation Engineer Jobs in Texas (NOW HIRING)

InfoVision, Inc.

Simulation Engineer

Irving, TX

Simulation Engineer, Irving, TX As a Simulation Engineer for the Digital Twin platform, you will be ... System dynamics, Discrete events and Agent based modeling using tools such as AnyLogic * MS or BS ...

Kiongroup

Simulation Engineer

Plano, TX · On-site +1

$65K - $140K/yr

Dematic is hiring a Simulation Engineer for one of our hubs-Grand Rapids (MI), Atlanta (GA), Plano ... systems before they are implemented. You'll convert data into relevant insights, support project ...

Kiongroup

Simulation Engineer

Plano, TX · On-site +1

$65K - $140K/yr

Dematic is hiring a Simulation Engineer for one of our hubs-Grand Rapids (MI), Atlanta (GA), Plano ... systems before they are implemented. You'll convert data into relevant insights, support project ...

InfoVision, Inc.

Simulation engineer

Irving, TX · On-site

... * 3+ years with System dynamics, Discrete events and Agent based modeling using tools such as ... Experience/ familiarity in building and engineering digital twins solutions with simulation ...

InfoVision, Inc.

Simulation Engineer

Irving, TX

... 3+ years with System dynamics, Discrete events and Agent based modeling using tools such as ... Engineering or other related field Skills · Experience in digital twin modeling, simulation ...

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Systems Simulation Engineer information

See Texas salary details

$49.8K

$118.5K

$155.6K

How much do systems simulation engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for systems simulation engineer in Texas is $118,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $146,300.00 per year, depending on experience, location, and employer.

What is the difference between Systems Simulation Engineer vs Systems Analyst?

AspectSystems Simulation EngineerSystems Analyst
Required CredentialsBachelor's or Master's in Engineering, Computer Science; knowledge of simulation toolsBachelor's in IT, Computer Science, or related; strong analytical skills
Work EnvironmentEngineering labs, simulation software environmentsOffice settings, client meetings, system analysis
Industry UsageAerospace, Defense, Automotive, ManufacturingIT, Business, Government agencies
Common Search/ComparisonYesYes

The Systems Simulation Engineer focuses on creating and analyzing models to predict system behavior, often in engineering contexts. In contrast, the Systems Analyst evaluates existing systems to improve efficiency and functionality. While both roles require analytical skills and technical knowledge, the Simulation Engineer emphasizes modeling and simulation, whereas the Analyst concentrates on system evaluation and requirements gathering.

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

To thrive as a Systems Simulation Engineer, you need a solid background in engineering, mathematics, and computer science, typically supported by a relevant degree. Experience with simulation tools like MATLAB/Simulink, ANSYS, or Modelica, as well as programming languages such as Python or C++, is highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and collaborate with multidisciplinary teams. These competencies ensure accurate modeling, efficient troubleshooting, and successful system optimization in complex engineering projects.

What are Systems Simulation Engineers?

Systems Simulation Engineers are professionals who use computer models and simulations to analyze, design, and optimize complex systems across industries like aerospace, automotive, and manufacturing. They develop virtual representations of systems to predict performance, identify issues, and test potential improvements without the need for costly physical prototypes. Their work helps organizations make informed decisions, improve efficiency, and reduce risks. These engineers collaborate with multidisciplinary teams and use specialized software to create accurate simulations of mechanical, electrical, or integrated systems.

What are some common challenges faced by Systems Simulation Engineers when integrating simulation models with real-world data?

Systems Simulation Engineers often encounter challenges when aligning simulation models with real-world data, such as ensuring model accuracy, managing data inconsistencies, and accounting for unforeseen system behaviors. Integrating diverse datasets from hardware, sensors, or software can require significant validation and calibration efforts. Collaborating closely with cross-functional teams, such as data analysts and hardware engineers, is crucial to resolve discrepancies and maintain the reliability of simulations. Staying adaptable and proactively communicating with stakeholders helps address these integration challenges effectively.
What are popular job titles related to Systems Simulation Engineer jobs in Texas? For Systems Simulation Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Systems Simulation Engineer jobs in Texas look for? The top searched job categories for Systems Simulation Engineer jobs in Texas are:
Systems Simulation Engineer jobs near you
Simulation Engineer

Simulation Engineer

InfoVision, Inc.

Irving, TX

Other

Posted 7 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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