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Modeling And Simulation Engineer Jobs in Washington

APEX TK

Modeling and Simulation Engineer

Chantilly, VA · On-site

APEX TK is seeking a highly motivated and skilled Modeling & Simulation Engineer to join our team supporting a critical government client. This position offers the opportunity to work on cutting-edge ...

SAIC

Modeling and Simulation Engineer

Chantilly, VA

ORA_ON_SITE Description SAIC has need for a Modeling and Simulation Engineer to support a rapidly expanding Government Intelligence Community (IC) customer with cutting-edge programs within the ...

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Modeling And Simulation Engineer information

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$44.2K

$139.8K

$215.8K

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

As of May 31, 2026, the average yearly pay for modeling and simulation engineer in Washington is $139,762.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $165,900.00 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 Washington? For Modeling And Simulation Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Modeling And Simulation Engineer jobs in Washington look for? The top searched job categories for Modeling And Simulation Engineer jobs in Washington are:
What cities in Washington are hiring for Modeling And Simulation Engineer jobs? Cities in Washington 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 Washington 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 $139,762 per year, or $67.2 per hour.

Modeling & Simulation Engineer with Security Clearance

Waypoint Human Capital

Chantilly, VA

Other

Posted 26 days ago

Job description

Position Title: Modeling & Simulation Engineer
Position Type: Full-time; Onsite
Position Location: Chantilly, VA
Clearance Required: Active TS/SCI CI Poly Waypoint’s client is seeking a highly motivated and skilled Modeling & Simulation Engineer to join their team supporting a critical government client. This position offers the opportunity to work on cutting-edge projects within the aerospace domain. Responsibilities: * Define modeling requirements from user needs and system architecture and develop scripts to automate scenario modeling and performance analysis.
  • Develop models of the end-to-end phenomenology chain, including generating complex EO/IR target signatures (BRDF, thermal), modeling atmospheric radiative transfer using tools like MODTRAN, and integrating realistic cloud clutter and terrain backgrounds.
  • Oversee mission-level simulation to assess ISR constellation performance.
  • Conduct trade studies on future ISR constellations.
  • Assess the resilience of specificized ISR architecture; model the space environment's impact on payload performance, including radiation effects on focal plane arrays, and analyze the vulnerability of established PNT (Positioning, Navigation, and Timing) systems to RF interference.
  • Utilize Python for model development, data analysis, and simulation execution.
  • Leverage AFSIM (or similar aerospace simulation software) for analysis and performance prediction.
  • Incorporate phenomenological modeling principles into relevant models and simulations.
Required Qualifications: * Active TS/SCI clearance with Poly.
  • Bachelor's degree in Aerospace Engineering or a related field.
  • 5+ years of experience in modeling and simulation, preferably within the aerospace industry.
  • Strong proficiency in Python programming.
  • Familiarity with AFSIM or similar aerospace simulation tools.
  • Solid understanding of orbital mechanics and space systems.
  • Experience with phenomenological models, including a demonstrated ability to model relevant physical phenomena and validate those models.
  • Experience modeling solar illumination effects, thermal emissions, Bidirectional Reflectance Distribution Function (BRDF) for material identification, and temperature dynamics of a target.
  • Experience modeling Radar Cross Section (RCS) for various frequencies and polarizations, and the signatures of active RF emitters.
  • Experience with atmospheric models (like MODTRAN or LibRadtran) to simulate absorption, scattering, turbulence (seeing effects), and path radiance.
  • Experience generating realistic backgrounds, including Earth limb radiance, cloud clutter models, terrain-specific thermal and optical properties, and celestial backgrounds (stars, zodiacal light).
Excellent communication and teamwork skills.Preferred Qualifications: Master's degree in Aerospace Engineering or a related field.
  • Experience with other simulation tools and programming languages.
  • Experience with non-cooperative target tracking.
  • Experience with collection & revisit modeling.
  • Experience modeling the dynamics of rapid slewing and settling of the spacecraft bus and pointing systems.
  • Demonstrated experience modeling the end-to-end Synthetic Aperture Radar (SAR) chain.
Knowledge of cloud computing platforms (e.g., AWS, Azure). Waypoint Human Capital is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender, national origin, age, protected veteran status, or disability status.

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