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Discrete Event Simulation Engineer Jobs in Virginia

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

Sr. Software Engineer (TS/SCI)

Hampton, VA · On-site

$113K - $136K/yr

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 ...

Sr. Software Engineer (TS/SCI)

Hampton, VA · On-site

$110K - $132K/yr

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 ...

Network Scientist

Fairfax, VA · On-site

$130 - $160/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) ...

New

Senior Operations Research Analyst (N)

Norfolk, VA · On-site

$112K - $112K/yr

Conduct complex modeling, simulation, and quantitative analysis using tools and methodologies such as Monte Carlo simulation, discrete event simulation, optimization algorithms, predictive modeling ...

Senior Operations Research Analyst (N)

Norfolk, VA · On-site

$112K - $112K/yr

Conduct complex modeling, simulation, and quantitative analysis using tools and methodologies such as Monte Carlo simulation, discrete event simulation, optimization algorithms, predictive modeling ...

Formulate mathematical approaches to solve complex business problems, including mathematical optimization, discrete-event simulation, and rules programming. Prepare and Collect Data: Gather and ...

Formulate mathematical approaches to solve complex business problems, including mathematical optimization, discrete-event simulation, and rules programming. • Prepare and Collect Data: Gather and ...

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 ...

Showing results 21-40

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.

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

Cities in Virginia with the most Discrete Event Simulation Engineer job openings:

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.

Industrial Base & Production Economics Analyst, TS/SCI

Blue Sky Innovators

Arlington, VA • On-site

$150K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago


Job description

The Industrial Base & Production Economics Analyst will be responsible for supporting the development and implementation of cutting-edge initiatives to advance the mission.
This role focuses on understanding and enabling the U.S. industrial base to rapidly scale production of critical capabilities, with emphasis on real-world constraints, cost, and speed.
Required experience:
5+ years of experience in manufacturing strategy, production systems analysis, industrial economics, supply chain analysis, or operations research
Experience analyzing OEM and multi-tier supplier networks, including production throughput, bottlenecks, and cost structures
Demonstrated ability to build and apply quantitative models of production systems (capacity, elasticity, scale-up vs. scale-out, mobilization timelines)
Experience working with or supporting manufacturing operations, production environments, or industrial programs
Strong ability to synthesize technical, economic, and operational data into clear, decision-relevant insights.
Desired Capabilities and Characteristics:
Experience in high-volume or capital-intensive industries (automotive, semiconductors, electronics, aerospace, heavy machinery,logistics)
Familiarity with factory modeling, discrete-event simulation, or supply chain risk analysis
Experience mapping and analyzing complex supply chains, including identification of critical dependencies and constraints
Experience with cost modeling, make/buy decisions, or capital expenditure planning
Experience analyzing or planning for rapid scale-up, surge production, or time-constrained operations
Experience working across government, industry, and public-private partnerships
Ability to operate and make recommendations under uncertainty with incomplete or imperfect data
Exposure to defense manufacturing, munitions, or DoW platforms preferred
Understanding of industrial policy, reindustrialization, or supply chain resilience
Proficiency with Excel, PowerPoint, and data analysis/visualization tools
Excellent written and oral communication skills
Other duties as assigned.
Degree Requirements: Bachelor's degree in industrial engineering, Operations Research, Supply Chain Management, Engineering, Economics, or related field.
Salary range for the position is $150,000 - $250,000 per year. Specific compensation will be determined by several factors including experience, education, skills, and knowledge. We also offer medical/dental/vision benefits and 401k contribution.
Blue Sky Innovators, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are a qualified job seeker with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access http://www.blueskyinnovators.com as a result of your disability. To request an accommodation, please email us at careers@blueskyinnovators.com and provide your name and contact information. Please note: this is only for job seekers with disabilities requesting an accommodation.