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Discrete Event Simulation Engineer Jobs in Reston, VA

goTenna Inc

Network Scientist

Fairfax, VA · On-site

$125 - $150/hr

Constructing models and running simulations in Network Simulator 3 (ns-3) or similar discrete-event ... Advanced degree in Computer Science, Computer Engineering, or a related field and at least one (1) ...

Unissant

Senior Data Scientist

Washington, DC · On-site

$135K - $197K/yr

Lead development, maintenance, and governance of LESA's suite of Discrete Event Simulation (DES ... Advanced ML/AI certifications (AWS ML Specialty, Google Professional ML Engineer, Azure AI Engineer ...

Unissant

Senior Data Scientist

Herndon, VA · On-site

$135K - $197K/yr

Lead development, maintenance, and governance of LESA's suite of Discrete Event Simulation (DES ... Advanced ML/AI certifications (AWS ML Specialty, Google Professional ML Engineer, Azure AI Engineer ...

UNISSANT

Senior Data Scientist

Washington, DC

Lead development, maintenance, and governance of LESA's suite of Discrete Event Simulation (DES ... Advanced ML/AI certifications (AWS ML Specialty, Google Professional ML Engineer, Azure AI Engineer ...

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All JobsDiscrete Event Simulation Engineer JobsDiscrete Event Simulation Engineer Jobs in Reston, VA

Discrete Event Simulation Engineer information

See Reston, VA salary details

$40.6K

$128.4K

$198.2K

How much do discrete event simulation engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for discrete event simulation engineer in Reston, VA is $128,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $152,400.00 per year, depending on experience, location, and employer.

What is a discrete event simulation engineer?

A Discrete Event Simulation Engineer is a professional who designs, develops, and implements simulation models that represent real-world systems as a series of distinct events occurring over time. These engineers use specialized software and analytical methods to model complex processes such as manufacturing lines, logistics networks, or service systems. Their work helps organizations optimize performance, test scenarios, and make data-driven decisions without disrupting actual operations. Skills in programming, systems analysis, and mathematics are essential for this role.

What are the key skills and qualifications needed to thrive as a discrete event simulation engineer?

To thrive as a Discrete Event Simulation Engineer, you need a strong background in mathematics, computer science, and systems engineering, typically supported by a relevant degree. Proficiency in simulation software such as Arena, Simul8, or AnyLogic, as well as programming languages like Python or C++, is commonly required. Analytical thinking, problem-solving abilities, and effective communication skills are crucial for interpreting data and collaborating with cross-functional teams. These skills ensure accurate modeling, efficient problem resolution, and successful implementation of simulation solutions in complex systems.

What are some common challenges faced by discrete event simulation engineers when integrating simulation models with existing business processes?

Discrete Event Simulation Engineers often encounter challenges when aligning simulation models with real-world business processes, such as ensuring data accuracy, managing stakeholder expectations, and adapting to frequently changing operational parameters. It can be difficult to gather precise input data and validate models against actual system performance. Additionally, engineers must communicate complex simulation results to non-technical stakeholders and collaborate closely with cross-functional teams to implement recommended changes. Overcoming these challenges requires strong analytical skills, effective communication, and adaptability.

What is the difference between Discrete Event Simulation Engineer vs Operations Research Analyst?

AspectDiscrete Event Simulation EngineerOperations Research Analyst
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related field; proficiency in simulation softwareBachelor's or Master's in Mathematics, Statistics, or Industrial Engineering; strong analytical skills
Work EnvironmentEngineering teams, manufacturing, logistics, or IT sectorsConsulting firms, government agencies, or corporate planning departments
Industry UsageModeling complex systems to optimize processes and workflowsAnalyzing data to improve decision-making and resource allocation

While both roles involve analytical skills and modeling, Discrete Event Simulation Engineers focus on creating simulation models of systems to optimize performance, often using specialized software. Operations Research Analysts analyze data and develop models to support strategic decisions. The roles overlap in skills but differ in application and industry focus.

What are popular job titles related to Discrete Event Simulation Engineer jobs in Reston, VA?

For Discrete Event Simulation Engineer jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Discrete Event Simulation Engineer jobs in Reston, VA look for?

The top searched job categories for Discrete Event Simulation Engineer jobs in Reston, VA are:

What cities near Reston, VA are hiring for Discrete Event Simulation Engineer jobs?

Cities near Reston, VA with the most Discrete Event Simulation Engineer job openings:

Discrete Event Simulation Engineer jobs near you
Infographic showing various Discrete Event Simulation Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,379 per year, or $61.7 per hour.

Lead Modeling and Simulation Engineer with Security Clearance

Arlington, VA • On-site

SAIC
IT Services • 10K+ employees
Learn more about SAICexternal

$160K - $200K/yr

Other

Posted 21 days ago

SAIC rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

103rd of 226 rated it services

Job description

Description SAIC is seeking a Lead Modeling and Simulation Engineer to support the design, development, and execution of AFSIM-based simulation capabilities. This role combines hands-on C++ plugin and extension development with mission-level scenario modeling and analysis, delivering high-fidelity simulation tools that inform capability development, CONOPS evaluation, and system-of-systems performance assessments. The ideal candidate will partner closely with analysts and engineers to convert operational modeling requirements into robust, maintainable software features while also contributing directly to scenario development and quantitative analysis efforts. Key Responsibilities
• Lead a development effort to integrate AFSIM with a cloud based C2 environment
• Develop, configure, and execute mission-level scenarios in AFSIM aligned with analytical objectives, including sensor, weapon, and platform models with detection logic, engagement behaviors, and environmental interactions. • Script scenario behaviors using AFSIM scripting languages (Lua, Python, or equivalent) to represent tactics, decision logic, and mission flows. • Translate analyst requirements into software features, ensuring correctness, performance, and maintainability. • Conduct scenario validation, ensuring correctness of entity behaviors, timelines, and interactions. • Perform quantitative analysis of simulation outputs, including MOEs/MOPs, timelines, attrition, sensor performance, and mission outcomes. • Support development of scenario documentation, assumptions, and analytical traceability. • Collaborate with senior analysts to design experiment architectures, vignettes, and sensitivity studies. • Maintain and update scenario libraries, model configurations, software documentation, API references, and integration guides for reuse across programs. • Support build system configuration, version control workflows, and continuous integration pipelines. • Ensure code quality through unit testing, peer reviews, and adherence to coding standards. • Support live/virtual simulation environments and distributed simulations over DIS/HLA. • Support customer simulation and training events as required. Qualifications Required Qualifications
• Bachelor's degree in computer science, software engineering, engineering, physics, operations research, applied mathematics, or related field. • 10+ years of experience with modeling and simulation, particularly at the mission level. • 2+ years of experience leading an analysis or development team. • Experience with live/virtual simulation environments. • Experience with AFSIM, NGTS, MACE, or another operator-in-the-loop simulation tool. • Experience with distributed simulations over DIS/HLA. • Experience with Python, Bash, or other scripting languages. • Proficiency in Agile methodologies and tools including Jira and Confluence. • Ability to work with Git and collaborative development workflows. Preferred Qualifications
• Docker/Kubernetes or other containerization tools. • AWS or other cloud services experience. • CI/CD integration experience. • C++ and AFSIM development experience. • Domain experience in Sensor Modeling, Link 16, or Command and Control Systems. • Experience supporting customer simulation and training events. • Experience with sensor modeling, detection theory, or engagement logic. • Exposure to DoD mission threads, CONOPS, or system-of-systems analysis. • Ability to communicate analytical findings clearly to both technical and non-technical audiences. Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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