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Modeling And Simulation Engineer Jobs in Virginia

Electra

Simulation Engineer

Manassas, VA · On-site

Simulation Engineer About Electra At Electra, we're building the EL9 - a nine-passenger, hybrid ... Build and integrate real-time simulation models using RTOS platforms and model-based development ...

Electra

Simulation Engineer

Manassas, VA · On-site

Simulation Engineer About Electra At Electra, we're building the EL9 - a nine-passenger, hybrid ... Build and integrate real-time simulation models using RTOS platforms and model-based development ...

SAIC

Modeling and Simulation Engineer

Chantilly, VA · On-site

Description SAIC is seeking an experienced Modeling and Simulation Engineer to support a customer in Chantilly, VA. The successful applicant will demonstrate flexibility in task execution and provide ...

TRAX Corporate Office

Simulation Engineer

Forest, VA · On-site

Creates dynamic models of existing plant systems using ProTRAX software or other * Works with Senior Engineers to debug and tune simulation models * Use modeling software to evaluate future plant ...

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Modeling And Simulation Engineer information

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$38.7K

$122.3K

$188.9K

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

As of May 29, 2026, the average yearly pay for modeling and simulation engineer in Virginia is $122,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $145,200.00 per year, depending on experience, location, and employer.

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

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 are Modeling and Simulation Engineers?

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 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.

What are popular job titles related to Modeling And Simulation Engineer jobs in Virginia? For Modeling And Simulation Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Modeling And Simulation Engineer jobs in Virginia look for? The top searched job categories for Modeling And Simulation Engineer jobs in Virginia are:
What cities in Virginia are hiring for Modeling And Simulation Engineer jobs? Cities in Virginia 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 Virginia as of May 2026, with employment types broken down into 4% As Needed, 5% Full Time, and 91% Part Time. Highlights an 99% Physical, and 1% Hybrid job distribution, with an average salary of $122,341 per year, or $58.8 per hour.
Modeling and Simulation Engineer

Modeling and Simulation Engineer

Science Applications International Corporation

Chantilly, VA • On-site

Full-time

Posted 26 days ago

Job description

Job Description
SAIC is seeking an experienced Modeling and Simulation Engineer to support a customer in Chantilly, VA. The successful applicant will demonstrate flexibility in task execution and provide technical expertise on a variety of Modeling and Simulation (M&S) topics, including system performance modeling, design analysis, scenario development, and data visualization. In this role, the successful candidate may also assist with Systems Engineering topics (e.g., requirements, configuration management, readiness, verification and validation, etc.) to ensure comprehensive continuity across multiple program activities. As a trusted advisor, the candidate will be required to deliver value-added judgment and provide well-informed recommendations to the customer on program objectives, technical strategies, and system capabilities. The successful candidate will produce thorough, actionable, and consistent deliverables that align with the organization's goals and objectives in the modeling and simulation domain. The successful candidate will:
  • Develop and maintain physics-based simulation models of spacecraft systems, including structures, sensors, and mission environments.
  • Perform end-to-end performance modeling for satellite missions, integrating sensor, orbital, and environmental models.
  • Conduct sensor phenomenology studies, including optical, infrared, or radar modeling for detection, tracking, and signature analysis.
  • Perform orbital mechanics modeling including orbit determination, orbital maneuvering, and spacecraft flight dynamics
  • Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis, and interface between simulation tools.
  • Collaborate with multidisciplinary teams (systems engineering, GNC, payload, mission design) to ensure model fidelity and consistency.
  • Generate technical documentation, simulation reports, and visualizations to communicate findings and support design decisions.
  • Support trade studies and design reviews by providing modeling insights into performance impacts of design changes.

Qualifications
  • Bachelor's or Master's degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related field with 5+ years of professional technical experience
  • Bachelor's or Master's degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related field with 5+ years of professional technical experience.
  • 3+ years of experience in modeling and simulation for aerospace or space systems.
  • Active Top Secret/SCI w/Poly Clearance.
  • Strong understanding of sensor phenomenology --such as optical, infrared, or radar systems --and associated modeling methods.
  • Intermediate Python programming experience, demonstrated through hands-on experience with tasks such as data manipulation, automation, and development of Python-based solutions. Experience with libraries such as NumPy, SciPy, pandas, and matplotlib is beneficial.
  • Ability to communicate technical results clearly in written and verbal formats.

About Us
SAIC® is a premier Fortune 500® mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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