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Discrete Event Simulation Engineer Jobs in Virginia

AMERICAN SYSTEMS

Operations Research Analyst

Arlington, VA

$110K - $150K/yr

... Engineering & Analysis, and Training. * Support the modeling, simulation, and analysis of platforms ... Emphasis on discrete event analysis, data collection, analysis of results and translating abstract ...

SimIS Inc.

Senior Datalink Analyst (C)

Dahlgren, VA · On-site

$89K - $118K/yr

... simulation engineering, combat system operations and Life-Cycle support • Six (6) years of ... events. • Experience troubleshooting and isolation of hardware and software issues. • ...

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Discrete Event Simulation Engineer information

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.

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

What job categories do people searching Discrete Event Simulation Engineer jobs in Virginia look for?

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What cities in Virginia are hiring for Discrete Event Simulation Engineer jobs?

Cities in Virginia 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 Virginia as of August 2026, with employment types broken down into 60% Full Time, 30% Part Time, and 10% Contract. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution.

Operations Research Analyst

AMERICAN SYSTEMS

Arlington, VA

$110K - $150K/yr

Full-time

Re-posted 28 days ago

Job description

AMERICAN SYSTEMS is an employee-owned federal government contractor supporting national priority programs through our strategic solutions in the areas of Information Technology, Test & Evaluation, Program Mission Support, Engineering & Analysis, and Training.


  • Support the modeling, simulation, and analysis of platforms, sensors, and weapons within OSD-approved scenarios (with a heavy focus on Navy ISR&T).
  • Use a host of simulation tools, MATLAB and statistical methods to analyze system-trade comparisons as well as demonstrate mission utility.
  • Develop system performance metrics that provide insights to Government customers and decision-makers.
  • Independently communicate with customers to develop requirements, set expectations, develop assumptions, and relay results
  • Build complex models of systems by independently determining appropriate levels of detail
  • Coordinate teams of multiple analysts developing models of tactical situations in which to study system tradespace and demonstrate mission utility
  • Prepare analytical product reports and will be frequently asked to brief technical material to Government leadership.
  • Work travel to quarterly working group meetings (within CONUS) is possible as well as additional training opportunities.
  • Guide Junior Analysts and lead teams to produce complex analyses
  • Analyze environmental data and impacts on real world platforms and sensors
  • Apply advanced statistical methods to improve effectiveness of system capability
  • Guide Concept of Operations development through analysis
  • Interface with Subject Matter Experts to establish model assumptions
  • Clearly communicate complex technical methods
  • Generate presentations communicating analysis methodology and results for audiences ranging from MORS conferences to Flag Officers
  • Apply machine learning and pattern recognition optimization techniques

  • Active TS/SSBI 
  • Five (5) + years of relevant experience.
  • A minimum of three (3) to five (5) years of ORSA or similar analysis experience.
  • Bachelor’s degree in operations research or related field with at least 24 semester hours in combination of operations research, mathematics, probability, statistics, mathematical logic, computer science, engineering (aerospace, electrical, mechanical, systems engineering, etc.) or in political science, intelligence, foreign or international relations, or national security studies.
  • Familiarity with campaign/mission-level modeling and simulation applications and techniques
  • Example Applications:  Naval Simulation System (NSS), AFSIM, STORM, EADSIM, STK
  • Experience with MATLAB, SAS JMP, Python or PERL
  • Knowledge and experience in test planning and design, execution, and evaluation.
  • Knowledge of parametric and non-parametric statistics, data reduction, data decomposition, data analysis techniques, development of measures of performance and evaluation, confidence intervals, computer analysis tools, and survey test and evaluation methods.
  • Demonstrated experience in conducting test design and planning, data collection, and data analysis functions, knowledge of test and evaluation processes and activities.
  • Emphasis on discrete event analysis, data collection, analysis of results and translating abstract elements into useful operational information.
  • Ability to convey information in a clear and concise manner via verbal presentations, producing written products, or otherwise informing senior stakeholders.

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