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Modeling And Simulation Engineer Jobs in Maryland

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$37.9K

$119.8K

$184.9K

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

As of Aug 17, 2026, the average yearly pay for modeling and simulation engineer in Maryland is $119,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $142,200.00 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 Maryland?

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

What job categories do people searching Modeling And Simulation Engineer jobs in Maryland look for?

The top searched job categories for Modeling And Simulation Engineer jobs in Maryland are:

What cities in Maryland are hiring for Modeling And Simulation Engineer jobs?

Cities in Maryland 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 Maryland as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $119,764 per year, or $57.6 per hour.

Lead Modeling and Simulation Engineer (Level III)

Athenix Solutions Group

Annapolis Junction, MD • On-site

$180K - $220K/yr

Full-time

Re-posted 10 days ago

Job description

Description:

Athenix Solutions group is looking for a Lead Modeling and Simulation Engineer (Level III) to serve as key personnel on a large-scale DoD/DoW cyber training and exercise program in the Annapolis Junction, MD area.


This role provides senior technical leadership for modeling and simulation environments, including network design, cyber range and lab development, simulation integration, and delivery of realistic, scalable training and exercise capabilities across multiple classification levels. The successful candidate will lead engineering teams, advise senior stakeholders, and ensure simulation environments directly support training and operational objectives.


Key Responsibilities:

  • Serve as the technical lead for modeling and simulation activities supporting cyber training and exercise missions
  • Lead design, development, integration, and sustainment of simulation environments, cyber ranges, and lab-based targets
  • Oversee environment and network architecture design, including multi-domain and multi-classification simulations
  • Manage software licensing, infrastructure upgrades, and technical dependencies for simulation platforms
  • Ensure simulation solutions integrate effectively with joint, virtual, live, and constructive (JVLC) training constructs
  • Provide technical oversight for exercise scenario–dependent target simulations, including variable fidelity models
  • Lead and mentor simulation engineers, lab engineers, and technical specialists
  • Coordinate closely with training, operations, and IT teams to align simulation capabilities with mission requirements
  • Support exercise execution, troubleshooting, and after-action technical assessments
  • Maintain configuration control and documentation for all simulation deliverables
  • Brief senior government stakeholders on technical approaches, risks, and recommended solutions

This position may require some CONUS & OCONUS travel.

Requirements:
  • Active Top Secret / SCI w/Polygraph clearance
  • 8+ years of experience in modeling and simulation, cyber range engineering, virtualized environments, or related technical disciplines
  • 3+ years of experience leading technical teams in an engineering or simulation environment
  • Demonstrated experience designing and operating complex networked simulation environments
  • Strong communication skills with the ability to explain technical concepts to non-technical stakeholders

Desired Qualifications:

  • Broad technical foundation across:
    • Network architecture and virtualization
    • Cyber ranges and lab environments
    • Industrial Control Systems (ICS) or OT simulation
    • Virtual machine and cloud-based infrastructure
  • Experience integrating simulations into joint or large-scale training and exercise events
  • Familiarity with configuration management, resource allocation, schedule tracking, and technical reporting
  • Experience supporting training or exercise missions in classified environments
  • Strong customer engagement and problem-solving skills


Equal Opportunity Employer, including disability and protected veteran status.