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Modeling And Simulation Engineer Jobs in Gaithersburg, MD

Description SAIC is looking for a Modeling and Simulations Engineer with NRO experience who's ready to help shape the next generation of national space capabilities. In this role, you won't just ...

Modeling and Simulation Engineer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the ...

LMI is seeking a skilled Forward Deployed Engineer in the Washington, DC region to join one of our ... Previous experience with modeling and simulation (M&S) tools * Experience with briefing and ...

Showing results 41-60

Modeling And Simulation Engineer information

See Gaithersburg, MD salary details

$42.1K

$133.3K

$205.8K

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

As of Aug 15, 2026, the average yearly pay for modeling and simulation engineer in Gaithersburg, MD is $133,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $158,300.00 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 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 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 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 job categories do people searching Modeling And Simulation Engineer jobs in Gaithersburg, MD look for?

The top searched job categories for Modeling And Simulation Engineer jobs in Gaithersburg, MD are:

What cities near Gaithersburg, MD are hiring for Modeling And Simulation Engineer jobs?

Cities near Gaithersburg, MD with the most Modeling And Simulation Engineer job openings:

Infographic showing various Modeling And Simulation Engineer job openings in Gaithersburg, MD as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $133,327 per year, or $64.1 per hour.

Full-time

Re-posted 5 days ago


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7.9

Company rating: 7.9 out of 10

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Job description

SAIC is looking for a Modeling and Simulations Engineer with NRO experience who's ready to help shape the next generation of national space capabilities. In this role, you won't just support a rapidly growing Intelligence Community customer - you'll be part of a mission driven team pushing the boundaries of Modeling & Simulation and SETA support for critical NRO programs. 

This role puts you at the heart of efforts to strengthen the NRO's space resiliency posture - ensuring our nation's most critical space assets remain ready, reliable, and effective. Your work will help shape the technical direction of systems that support national security every single day.


If you're energized by solving tough technical problems and want your work to have real operational impact, this is where you can make it happen.


Responsibilities may include but are not limited to the following:
Lead system level analysis and performance evaluations that directly inform strategic decisions.
Tackle complex, high stakes mission challenges across design, integration, and operational readiness.
Identify and assess emerging technologies that can elevate future mission capabilities.
Support enterprise wide verification and validation to ensure systems perform when it counts.
Review system discrepancies and drive meaningful resolutions that improve mission assurance.
Evaluate resources, schedules, and integration plans for major test and transition efforts.
Capture lessons learned and best practices that strengthen the broader mission enterprise.
Support occasional non standard hours to meet critical timelines.
Travel as needed to stay engaged with mission partners and stakeholders.

SAIC is a premier 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, intelligence, and civilian 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.

Bachelor's degree in Systems, Aeronautical, Mechanical, Test Engineering, Physics, or related technical field, plus 5+ years of relevant experience.
Background in engineering analysis, mission operations, or ground system support is a big plus.
Active TS/SCI with Polygraph.
Strong communication and customer engagement skills.
Excellent writing and interpersonal abilities.
Experience with M&S tools/technologies such as C++, Python, R, SQL, PostgreSQL, Linux, MATLAB, VBA, or STK (desired).
Drive, initiative, and the ability to excel in a fast paced, mission focused environment.


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