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Modeling Simulation Jobs in Virginia (NOW HIRING)

Sedaro

Senior Modeling & Simulation Engineer

Arlington, VA · On-site

$120K - $165K/yr

Modeling & Simulation, reporting to the Team Lead * Location: In person in Arlington, VA * Ability to obtain a TS security clearance Who We Are Our simulation platform enables digital mission ...

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All JobsModeling Simulation JobsModeling Simulation Jobs in Virginia

Modeling Simulation information

See Virginia salary details

$38.7K

$100.4K

$142.8K

How much do modeling simulation jobs pay per year?

As of Jul 17, 2026, the average yearly pay for modeling simulation in Virginia is $100,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,800.00 and $128,400.00 per year, depending on experience, location, and employer.

What is modeling and simulation in a professional context?

Modeling and simulation is the process of creating and using digital models to represent real-world systems, processes, or phenomena in order to analyze and predict their behavior. Professionals in this field use specialized software and mathematical techniques to simulate scenarios, test hypotheses, and optimize performance without the risk or expense of real-world experimentation. This approach is widely used in industries such as engineering, defense, healthcare, and manufacturing to improve decision-making, training, and system design.

What is the difference between Modeling Simulation vs Mechanical Engineer?

AspectModeling SimulationMechanical Engineer
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; proficiency in simulation softwareBachelor's or higher in mechanical engineering; often professional engineering license
Work EnvironmentSoftware development, research labs, engineering firmsManufacturing plants, design offices, R&D departments
Industry UsageDesign validation, system analysis, virtual prototypingProduct design, testing, manufacturing processes
Common Search/ComparisonModeling Simulation vs Mechanical Engineer

Modeling Simulation specialists focus on creating virtual models and running simulations to analyze system behaviors, often requiring programming skills and software expertise. Mechanical Engineers design, develop, and test physical products and systems, utilizing their engineering knowledge in practical applications. While both roles overlap in engineering principles, Modeling Simulation emphasizes virtual analysis, whereas Mechanical Engineering centers on physical product development.

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

To thrive as a Modeling and Simulation Specialist, you need strong analytical skills, a solid foundation in mathematics and statistics, and typically a degree in engineering, computer science, or a related field. Familiarity with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valuable. Critical thinking, problem-solving, and effective communication are soft skills that help professionals interpret complex data and collaborate with multidisciplinary teams. These skills ensure accurate model development, insightful analysis, and successful application of simulations to real-world problems.

How do professionals in Modeling Simulation typically collaborate with cross-functional teams during a project?

Modeling Simulation professionals often work closely with engineers, software developers, analysts, and project managers to develop accurate models and simulations for various applications. Collaboration usually involves gathering requirements, integrating domain expertise, validating simulation results, and refining models based on feedback. Regular meetings and iterative development cycles are common, helping ensure that models align with project goals and stakeholder needs. This interdisciplinary approach is essential for delivering robust solutions and often leads to valuable learning and career growth opportunities.
What are popular job titles related to Modeling Simulation jobs in Virginia? For Modeling Simulation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Modeling Simulation jobs in Virginia look for? The top searched job categories for Modeling Simulation jobs in Virginia are:
What cities in Virginia are hiring for Modeling Simulation jobs? Cities in Virginia with the most Modeling Simulation job openings:
Modeling Simulation jobs near you
Infographic showing various Modeling Simulation job openings in Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $100,387 per year, or $48.3 per hour.
Modeling & Simulation Analyst/Developer

Modeling & Simulation Analyst/Developer

Logistics Management Institute

Tysons, VA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Overview
LMI is seeking a skilled Forward Deployed Engineer in the Washington, DC region to join one of our M&S customer development teams. Successful Forward Deployed Engineers demonstrate competency in integrating advanced technologies into existing business processes, building new functionality, ensuring successful software development, analysis, or deployments, and working closely with customers. This role requires a combination of technical skills, strong communication, and the ability to quickly turn ideas into production caliber code. This role will work and engage directly with customers on-site, in a hybrid format, or remotely, as required by each customer including the potential for occasional short-term travel to customer locations across the United States.
This is a hybrid (onsite/remote) role. This position requires the ability to obtain a Secret clearance. You must be a U.S. citizen.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
  • Design, implement, and maintain analytical models within our M&S capability called RAPTR.
  • Perform testing and validation of models and code to ensure accurate outputs.
  • Perform operations research analyses with RAPTR to answer client questions and recommend efficient courses of action
  • Participate in client meetings to understand requirements and to brief your technical findings and analyses.
  • Collaborate with other RAPTR software engineers, modelers, and analysts to optimize performance for large-scale simulations.
  • Implement monitoring, logging, and alerting to ensure system reliability and availability.
  • Troubleshoot issues across cloud infrastructure, networks, and simulation workloads.
  • Stay current with advances in cloud technologies and recommend improvements to enhance RAPTR capabilities.

Qualifications
Qualifications:
  • Bachelor's degree in Computer Science, ORSA, Data Science, or related field (or equivalent work experience).
  • 5+ years in performing complex data analytics such as building AI/ML models, or physics-based models.
  • Previous experience with modeling and simulation (M&S) tools
  • Experience with briefing and engaging with DoD customers.
  • Strong problem-solving skills and ability to work in a collaborative, fast-paced environment.
  • Ability to obtain a Secret clearance. You must be a U.S. citizen.

Desired Qualifications
  • Experience supporting modeling and simulation platforms or compute-intensive applications.
  • Experience with cloud infrastructure (AWS, Azure, or GCP).
  • Ability to obtain TS/SCI clearance
  • Knowledge of DoD cloud security requirements (IL4/IL5, FedRAMP, CMMC).
  • Experience working in Agile development teams.

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