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Modeling Simulation Engineer Jobs (NOW HIRING)

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 ...

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$39K

$123.4K

$190.5K

How much do modeling simulation engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for modeling simulation engineer in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Modeling Simulation Engineer position, and why are they important?

To thrive as a Modeling Simulation Engineer, you need a strong background in mathematics, physics, and computer science, typically supported by a relevant engineering or science degree. Proficiency with simulation software such as MATLAB, Simulink, ANSYS, or similar tools, and sometimes certifications in systems engineering or modeling methodologies, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart. These qualifications are crucial for accurately representing complex systems, translating requirements into effective models, and collaborating with multidisciplinary teams to achieve project goals.

What does a Modeling Simulation Engineer do?

A Modeling Simulation Engineer develops virtual models and simulations to analyze complex systems and processes. They use mathematical models, computer simulations, and data analysis to predict system performance and optimize designs before physical implementation. These engineers typically work in industries like aerospace, defense, automotive, and healthcare to improve efficiency, safety, and decision-making. Their role often involves coding, algorithm development, and working with simulation software to test real-world scenarios in a virtual environment.

What are the typical responsibilities and project stages for a Modeling Simulation Engineer?

Modeling Simulation Engineers are responsible for developing mathematical models, running simulations, analyzing results, and providing recommendations to improve system performance or design. Projects often begin with understanding client or stakeholder requirements, followed by designing models based on those needs and iteratively refining them as data is collected. Engineers work closely with design, hardware, and software teams to validate models and ensure alignment with real-world performance. Collaborating with colleagues and presenting findings to both technical and non-technical audiences are routine aspects of the job, making cross-functional communication vital for project success.

More about Modeling Simulation Engineer jobs
What cities are hiring for Modeling Simulation Engineer jobs? Cities with the most Modeling Simulation Engineer job openings:
What are the most commonly searched types of Modeling Simulation Engineer jobs? The most popular types of Modeling Simulation Engineer jobs are:
What states have the most Modeling Simulation Engineer jobs? States with the most job openings for Modeling Simulation Engineer jobs include:
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Modeling Simulation Engineer jobs near you
Infographic showing various Modeling Simulation Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $123,399 per year, or $59.3 per hour.
Simulation Engineer

Simulation Engineer

InfoVision, Inc.

Irving, TX • On-site

Other

Posted 8 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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