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Discrete Event Simulation Engineer Jobs in Reston, VA

IBM Computing

Sr. Software Engineer (TS/SCI)

Ashburn, VA · On-site

$120 - $180/hr

Design and implement predictive models using mathematical optimization, discrete-event simulation, and rules programming to drive business optimization. This includes utilizing tools like IBM CPLEX ...

New

goTenna Inc

Network Scientist

Fairfax, VA · On-site

$130 - $160/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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) ...

New

Unissant

Senior Data Scientist

Washington, DC · On-site

$130 - $150/hr

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 ...

AMERICAN SYSTEMS

Operations Research Analyst

Arlington, VA · On-site

$110K - $150K/yr

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

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 ...

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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 Aug 19, 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?

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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.

Full-Stack Data Engineer (TS/SCI)

IBM Computing

Chantilly, VA • On-site

$95 - $120/hr

Other

Posted yesterday

New

Job description

Introduction

Our team is committed to providing senior National Security leaders with decision-worthy data and analysis to improve the effectiveness of Intelligence systems supporting DoW Warfighters. The team conducts empirical analysis to provide definitive accounts of DoW ISR contributions to operations and generates data-driven acquisition recommendations for the Office of the Under Secretary of War for Intelligence and Security, OUSW(I&S). We are seeking a TS//SCI cleared Full Stack Data Engineer with a variety of technical skills, a curiosity to learn and innovate, and a general understanding of the defense intelligence enterprise. Our data engineering team leverages open-source and enterprise languages and tools to pull, clean, analyze, and display data in decision support tools for senior leaders within the Department of War. Work location is in Reston, VA, and is full-time in-person.

Your role and responsibilities

As a Data Engineer with Advanced Analytics expertise, you will specialize in formulating mathematical approaches to solve complex business problems and utilize predictive analytics tools to draw conclusions and present findings. You will design, build, and manage solutions that involve preparing data, performing statistical analysis, and deploying analysis results. Your primary responsibilities will include:

  • Design and Build Solutions: Design, build, and manage solutions that involve preparing data, performing statistical analysis, data collection, data mining, and text mining, and deploying analysis results.
  • Perform Statistical Analysis: Perform statistical analysis and data mining to identify trends and patterns and utilize predictive analytics tools like SPSS to draw conclusions and present findings.
  • Formulate Mathematical Approaches: Formulate mathematical approaches to solve complex business problems, including mathematical optimization, discrete-event simulation, and rules programming.
  • Prepare and Collect Data: Gather and prepare data for analysis, ensuring data quality and integrity.
  • Deploy Analysis Results: Deploy analysis results and findings to stakeholders, presenting insights and recommendations for business improvement.
Required technical and professional expertise
  • US Citizen with active TS//SCI clearance or show immediate eligibility according to DISS security database (SCI within last 2 years)
  • Bachelor’s Degree, preferably in STEM fields
  • 2+ years of experience applying data engineer or software development skills to develop analytic tools, deliver mission support services and create data visualization capabilities
  • 2+ years of experience using Python or similar programming languages (Ruby, Java, R)
  • 2+ years of experience with database development (SQL and NoSQL)
  • 1+ year of experience leveraging prompt engineering and GenAI tools in a professional work context
  • Experience with advanced text parsing tools to include regex and NLP
Preferred technical and professional experience
  • Master’s Degree, preferably in STEM fields
  • 2+ years of general experience in the military or intelligence community; exposure to ISR capabilities is highly desired
  • Experience developing and delivering technology in at least two of the following areas with a willingness to expand to all: data analytics, machine learning, artificial intelligence, data visualization, geospatial analysis, web services, or database development
  • Experience in web design and development using HTML and CSS
  • Experience in advanced AI techniques - fine-tuning ML models and LLMs, implementing chat sessions via API, retrieval-augmented generation, agentic workflows/tooling/function calling, and/or context window optimization

IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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