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Modeling And Simulation Engineer Jobs in Dayton, OH

Leidos is seeking an AFSIM Modeling and Simulation Engineer with an active TS/SCI to support the National Space Intelligence Center (NSIC). This role involves developing and integrating system models ...

Leidos is seeking an AFSIM Modeling and Simulation Engineer with an active TS/SCI at Wright-Patterson Air Force Base, Ohio. This role combines strong technical expertise with excellent collaboration ...

Leidos is seeking an AFSIM Modeling and Simulation Engineer with an active TS/SCI at Wright-Patterson Air Force Base, Ohio. This role combines strong technical expertise with excellent collaboration ...

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Modeling And Simulation Engineer information

See Dayton, OH salary details

$37.9K

$119.9K

$185.2K

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

As of Sep 4, 2026, the average yearly pay for modeling and simulation engineer in Dayton, OH is $119,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $142,400.00 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 Dayton, OH?

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

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

The top searched job categories for Modeling And Simulation Engineer jobs in Dayton, OH are:

What cities near Dayton, OH are hiring for Modeling And Simulation Engineer jobs?

Cities near Dayton, OH with the most Modeling And Simulation Engineer job openings:

Infographic showing various Modeling And Simulation Engineer job openings in Dayton, OH as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $119,939 per year, or $57.7 per hour.

Agile Modeling & Simulation Engineer - Expert - #919

Allen Integrated Solutions

Dayton, OH โ€ข On-site

Full-time

Posted 3 days ago

New


Job description

Agile Modeling & Simulation Engineer - Expert - #919

Clearance Required:  TS/SCI 

Dayton, Ohio - 100% onsite

 

Position Overview 

The Expert Agile Modeling & Simulation Engineer serves as the principal technical authority and strategic lead for digital engineering across the contract. This role provides high-level architectural oversight to revolutionize how NASIC produces model-centric intelligence. The Expert engineer advises senior center leadership, coordinates cross-functional enterprise workflows, and designs corporate-level MBSE governance frameworks to ensure consistency across the Department of Defense (DoD) and Intelligence Community (IC). 

Core Responsibilities 

  • Strategic Architecture & Integration: Architect-level lead providing systems engineering oversight and technical recommendations on system performance, feasibility, and program alignment to pioneer dynamic, model-centric intelligence workflows. 
  • Enterprise Governance Policy Creation: Leads the drafting, reviewing, and formal proposing of enterprise governance policies, data standards, and best practices for model-based analytic processes. Establishes standard enterprise taxonomies with a heavy emphasis on MBSE-based workflows. 
  • Deliverable Accountability: Authors, reviews, and delivers the formal monthly MBSE Performance and Feasibility Assessment Report and the MBSE Governance Posture Report directly to the Chief Modeling and Simulation Officer. 
  • Strategic Communications & Advocacy: Directs high-level technology scouting and strategic communications. Facilitates cross-functional enterprise coordination across mission partners to ensure modernized simulation workflows meet long-range mission objectives. 

Qualifications & Experience 

Required: 

  • Education & Experience: Bachelor's degree and 18 years of experience OR a Master's degree and 15 years of experience in Systems Engineering, Aerospace Engineering, Digital Engineering, or a related technical discipline. 
  • Technical Expertise: Expert-level mastery utilizing MBSE and SysML software suites (e.g., Cameo Systems Modeler, MagicDraw) to build complex enterprise system models independent of supervisory guidance. Deep background in aerospace/defense simulation workflows, ontology design, and technical risk assessment. 
  • Clearance & Compliance: Active TS/SCI security clearance for 100% on-site support at Wright-Patterson AFB. Proven history driving policy interpretation and enterprise standard implementation. 

Desired: 

  • NASIC Experience: NASIC experience highly desired, not mandatory.