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Modeling And Simulation Engineer Jobs in Washington

Sedaro

Modeling & Simulation Engineer

Arlington, VA · On-site

Overview Sedaro is hiring a Modeling & Simulation Engineer to build the high fidelity simulation software that powers our cutting-edge simulation platform and help transform how aerospace technology ...

Sedaro

Modeling & Simulation Engineer

Arlington, VA · On-site

Overview Sedaro is hiring a Modeling & Simulation Engineer to build the high fidelity simulation software that powers our cutting-edge simulation platform and help transform how aerospace technology ...

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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 Sep 13, 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 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 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 August 2026, with employment types broken down into 88% Full Time, 2% Part Time, 2% Temporary, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $139,762 per year, or $67.2 per hour.

Modeling & Simulation Engineer

Arlington, VA • On-site

Sedaro
Internet and IT • 11 - 50 employees
Learn more about Sedaroexternal

Full-time

Medical, Retirement, PTO

Re-posted 20 days ago

Job description

Overview

Sedaro is hiring a Modeling & Simulation Engineer to build the high fidelity simulation software that powers our cutting-edge simulation platform and help transform how aerospace technology is built.

  • Team: 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 engineering and model-based optimization through distributed, multi-domain, rapid analysis across hundreds of interacting systems. Our simulations have run at massive scale in data centers, in the loop with hardware in the lab, and on-orbit onboard real space hardware. Join us as an early employee and transform how teams collaboratively engineer the next generation of satellite constellations and connected fleets.


Who You Are

  • You are a self-driven and creative engineer with a passion for solving complex problems.
  • You take pride in writing clean, efficient, and maintainable code to build robust and scalable simulations.
  • You thrive on technical challenges and take pride in owning your work from concept to implementation.
  • You are a natural collaborator, adept at working with interdisciplinary teams to build and refine cutting-edge software in a fast-paced, innovative environment.


What You'll Do

As a Modeling & Simulation Engineer, you will be a hands-on individual contributor focused on expanding our platform's simulation capabilities. Your responsibilities will include:

  • Taking ownership of technical projects and driving development.
  • Developing high-fidelity simulation software and analysis tools for a diverse range of complex systems and validating these models against real-world data.
  • Configuring and executing large-scale multi-simulation studies that leverage cloud compute resources for uncertainty quantification, sensitivity analysis, and optimization.
  • Performing code review for peers and providing technical feedback and suggestions to other engineering teams to drive platform improvement.
  • Supporting contract meetings with technical input and demonstrations to external stakeholders.


Benefits

  • Equity
  • Unlimited PTO
  • 401(k) with 4% match
  • 100% premium payment for Medical Insurance
  • Parental Leave
  • Flexible work schedule with core hours
  • Company provided lunches 3 days a week
  • Industry-leading career development opportunities


Requirements

  • Bachelor's degree in physics, applied math, engineering, or similar
  • Experience writing software to model complex physical systems
  • Experience with git, automated testing, and related software development tools & practices
  • Experience validating simulation models against real-world data
  • Experience with data analysis and visualization
  • Able to obtain a TS security clearance