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Executive 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 ...

Leidos

Senior Simulation and Modeling Engineer

$131K - $237K/yr

Leidos is seeking a Senior Digital Modeling & Simulation Engineer to support the U.S. Coast Guard ... Support stakeholder engagement sessions, workshops, technical exchanges, and executive briefings ...

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Executive Modeling Simulation Engineer information

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$39K

$123.4K

$190.5K

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

As of Jul 9, 2026, the average yearly pay for executive 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 as an Executive Modeling Simulation Engineer, and why are they important?

To excel as an Executive Modeling Simulation Engineer, you need an advanced understanding of systems engineering, mathematics, and simulation methodologies, typically supported by a relevant engineering degree and significant industry experience. Proficiency with simulation software such as MATLAB, Simulink, or Arena, as well as familiarity with programming languages and possibly certifications in modeling and simulation, is often required. Strong leadership, analytical thinking, and effective communication are vital soft skills for leading teams and conveying complex concepts to stakeholders. These competencies ensure the development and implementation of accurate, innovative simulation solutions that drive strategic decision-making and project success.

What is the difference between Executive Modeling Simulation Engineer vs Mechanical Simulation Engineer?

AspectExecutive Modeling Simulation EngineerMechanical Simulation Engineer
Required CredentialsBachelor's or Master's in Engineering, specialized in simulationBachelor's or Master's in Mechanical Engineering, focus on simulation tools
Work EnvironmentCorporate R&D, high-level project planningDesign labs, product development teams
Employer & IndustryTech firms, aerospace, automotiveManufacturing, automotive, aerospace
Common Search/ComparisonYesYes

The Executive Modeling Simulation Engineer and Mechanical Simulation Engineer roles both involve simulation expertise, but the executive role emphasizes strategic planning, leadership, and high-level project oversight, often within corporate R&D settings. The Mechanical Simulation Engineer focuses more on hands-on simulation work related to mechanical systems and product development. Both roles require strong technical skills, but differ in scope and responsibilities.

How does an Executive Modeling Simulation Engineer typically collaborate with cross-functional teams to ensure project success?

Executive Modeling Simulation Engineers frequently work alongside multidisciplinary teams, including software developers, hardware engineers, project managers, and domain specialists. They play a key role in bridging technical and strategic objectives by communicating simulation requirements, interpreting results, and integrating feedback from various stakeholders. Regular meetings, collaborative design reviews, and shared project management tools are common practices to facilitate this teamwork. This collaborative environment not only ensures models and simulations meet project goals, but also helps identify potential issues early, leading to more robust and innovative solutions.

What are Executive Modeling Simulation Engineers?

Executive Modeling Simulation Engineers are professionals who oversee the design, development, and implementation of complex simulation models to support strategic decision-making within an organization. They work at a senior level, often managing teams and collaborating with stakeholders to ensure simulations accurately reflect real-world scenarios and business objectives. Their work helps organizations forecast outcomes, optimize processes, and mitigate risks. Executive Modeling Simulation Engineers typically possess advanced technical expertise in modeling tools, programming languages, and systems analysis, along with strong leadership and communication skills.
More about Executive Modeling Simulation Engineer jobs
What cities are hiring for Executive Modeling Simulation Engineer jobs? Cities with the most Executive Modeling Simulation Engineer job openings:
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Executive Modeling Simulation Engineer jobs near you
Infographic showing various Executive 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

Re-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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