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Discrete Event Simulation Engineer Jobs in Virginia

N-C

Industrial Engineer

Chesapeake, VA · On-site

$68K - $91K/yr

The Industrial Engineer plays a key role in driving operational excellence through process ... Utilize discrete event simulation techniques to model and analyze complex systems, identifying ...

Unissant

Data Scientist

Herndon, VA · On-site

Contribute to the development and maintenance of LESA's suite of Discrete Event Simulation (DES ... Professional ML Engineer, or Databricks ML Associate preferred. * Tableau, Qlik, or ArcGIS ...

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Discrete Event Simulation Engineer information

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

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 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 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 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.
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Discrete Event Simulation Engineer jobs near you
Infographic showing various Discrete Event Simulation Engineer job openings in Virginia as of July 2026, with employment types broken down into 1% Locum Tenens, 73% Full Time, 23% Part Time, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.
Simulation Engineer with Security Clearance

Simulation Engineer with Security Clearance

Data Machines

Herndon, VA • On-site

Other

Re-posted 26 days ago

Job description

Simulation Engineer
Job# 1169-S
Location: Reston, VA
Clearance Requirement: Secret
Job Description and Responsibilities:
Data Machines seeks an energetic Simulation Engineer with the desire to work with our team supporting the development and production of cutting-edge defense and intelligence simulation capabilities. The ideal candidate will use operations research and software development skills to encode custom agent behaviors and interfaces for, and apply Artificial Intelligence and Machines Learning to, discrete event simulations, creating interfaces between the simulation and external software, and use statistical routines to conduct post-processing of simulation-generated data and provide insights in machine-readable and human-readable formats.
Candidates should have strong problem-solving skills, software development experience, and an excitement for cutting-edge defense and intelligence capabilities.
Successful candidates will be passionate about new ideas and enjoy the ownership of implementation, and eagerly support and contribute to the implementation of their teammates' ideas.  
Come join us as we work to solve some of the industry's biggest challenges. Data Machines fosters a culture of professional growth and development in a collaborative, open environment.
Multiple positions may be filled through this opening
Minimum Qualifications: • Bachelor’s degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline • Experience encoding functions in Python, C++, or C# • Experience applying object-oriented design patterns within software applications • Active Secret clearance
Preferred Qualifications: • Experience encoding one of the following: NGTS, OneSAF, GCAM, Command PE, STORM • Experience with distributed simulations • TS clearance with SCI eligibility

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