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Simulation Developer Jobs in Washington (NOW HIRING)

Senior Modeling and Simulation Engineer Core4ce is seeking a Senior Modeling and Simulation (M&S) Engineer to support the Integrated Healthcare Transformation (IHT) initiative within the Veterans ...

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 ...

Partner with system engineers, data scientists, operators, and mission planners to align simulation outputs with real-world operational needs * Translate mission needs into simulation requirements ...

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 ...

Support the development and integration of cutting-edge AI capabilities with Digital Engineering ... MISSION FOCUS Modeling & Simulation Specialistsat NT Concepts help our clients explore new ideas ...

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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Simulation Developer information

See Washington salary details

$12.5K

$76.6K

$137.6K

How much do simulation developer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for simulation developer in Washington is $76,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $90,000.00 per year, depending on experience, location, and employer.

What is the difference between Simulation Developer vs Simulation Engineer?

AspectSimulation DeveloperSimulation Engineer
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related fields; programming skillsBachelor's or higher in Engineering, Computer Science; specialized simulation knowledge
Work EnvironmentSoftware development teams, R&D labs, tech companiesEngineering teams, manufacturing, aerospace, automotive industries
Employer & Industry UsageTech firms, gaming, simulation software companiesEngineering firms, aerospace, automotive, defense
Common Search & Comparison IntentUnderstanding roles, skills, and career pathsJob responsibilities, industry applications, skills needed

Simulation Developers focus on creating and coding simulation software, often emphasizing programming and software design. Simulation Engineers apply simulation techniques to solve engineering problems, focusing on system analysis and testing. While both roles require technical skills and knowledge of simulation, Simulation Developers are more software-centric, whereas Simulation Engineers are more application-focused within engineering contexts.

What does a Simulation Developer do?

A Simulation Developer designs, builds, and tests computer-based models that mimic real-world processes or systems. They use programming languages and simulation software to create virtual environments for training, research, or analysis purposes. These professionals work in various industries, such as aerospace, healthcare, and manufacturing, to help organizations understand complex scenarios and make informed decisions. Simulation Developers often collaborate with subject matter experts to ensure models are accurate and effective.

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

To thrive as a Simulation Developer, you need strong programming skills (such as C++, Python, or Java), a background in mathematics or engineering, and a bachelor's degree in computer science or a related field. Familiarity with simulation software (like Unity, Unreal Engine, or MATLAB) and experience using modeling tools and version control systems are typically required. Problem-solving, attention to detail, and effective communication skills set outstanding simulation developers apart. These competencies are vital for building accurate, reliable simulations that meet user needs and support decision-making in various industries.

What are some typical challenges Simulation Developers face when working on complex projects?

Simulation Developers often encounter challenges such as balancing simulation accuracy with computational efficiency and managing large datasets. Collaborating closely with domain experts and software engineers is essential to ensure the simulation reflects real-world scenarios and integrates smoothly with other systems. Additionally, adapting to evolving project requirements and optimizing code for different hardware platforms can require creative problem-solving and continuous learning.
What are popular job titles related to Simulation Developer jobs in Washington? For Simulation Developer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Simulation Developer jobs in Washington look for? The top searched job categories for Simulation Developer jobs in Washington are:
Machine Learning Modeling and Simulation Engineer

Machine Learning Modeling and Simulation Engineer

Science Applications International Corporation

Chantilly, VA • On-site

Full-time

Posted 9 days ago


SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

69th of 204 rated it services


Job description

Job Description
SAIC has need for a Machine Learning Modeling and Simulation Engineer to support a rapidly expanding Government Intelligence Community (IC) customer with cutting-edge programs within the National Reconnaissance Office (NRO) in Chantilly, VA.
Note: The role offers a flexible work schedule, but we ask our team to be available for team meetings during core business hours (10:00 a.m. - 3:00 p.m.).
As the Machine Learning Modeling and Simulation Engineer, you will provide technical expertise across a variety of Machine Learning (ML) and Modeling and Simulation (M&S) topics, including developing and training ML models, designing simulation frameworks, conducting performance analyses, and applying data-driven approaches to solve complex problems. You will also assist with Systems Engineering topics (e.g., requirements, configuration management, readiness, verification and validation, etc.) to ensure seamless integration of ML capabilities within simulation environments.
Job Duties to include:
  • 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.
  • Apply Artificial Intelligence/Machine Learning (AI/ML) techniques (e.g., supervised/unsupervised learning, reinforcement learning, predictive modeling) to enhance simulation fidelity and performance.
  • Develop AI/ML models to analyze and predict satellite system behaviors, performance metrics, and mission outcomes based on simulation data.
  • Design and implement algorithms for anomaly detection, predictive maintenance, and optimization of satellite operations.
  • Use statistical and machine learning techniques to analyze data, identify patterns, and uncover insights relevant to satellite systems.
  • Integrate AI/ML models into existing simulation frameworks and tools to enhance their capabilities.
  • Provide value-added judgment and offer strategic recommendations to the customer on program objectives, advanced technologies, and system enhancements.
  • Produce highly detailed, practical, and consistent deliverables that align with the organization's mission and objectives, with a focus on innovation and cutting-edge solutions in machine learning and simulation.

Qualifications
Required Education and Experience:
  • Bachelor's Aerospace Engineering, Mechanical Engineering, Physics, and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience.
  • Active Top Secret/SCI w/Poly Clearance.
  • 3+ years of experience in modeling and simulation for aerospace or space systems.
  • 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 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.

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