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Discrete Event Simulation Engineer Jobs in Yorktown, VA

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 ...

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 ...

ENGINEER NUCLEAR 4

Newport News, VA · On-site

$124K - $153K/yr

ENGINEER NUCLEAR 4 Location: Newport News, Virginia, United States Date: Aug 19, 2026 Req ID: 48552 ... Experience with Monte Carlo radiation simulation development. * Experience with Discrete Ordinate ...

ENGINEER NUCLEAR 4 Location: Newport News, Virginia, United States Date: Aug 19, 2026 Req ID: 48552 ... Experience with Monte Carlo radiation simulation development. * Experience with Discrete Ordinate ...

ENGINEER NUCLEAR 4 Location: Newport News, Virginia, United States Date: Aug 19, 2026 Req ID: 48552 ... Experience with Monte Carlo radiation simulation development. * Experience with Discrete Ordinate ...

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Showing results 1-20

Discrete Event Simulation Engineer information

See Yorktown, VA salary details

$34.5K

$109.1K

$168.4K

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

As of Aug 25, 2026, the average yearly pay for discrete event simulation engineer in Yorktown, VA is $109,076.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $129,500.00 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 cities near Yorktown, VA are hiring for Discrete Event Simulation Engineer jobs?

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

Infographic showing various Discrete Event Simulation Engineer job openings in Yorktown, VA as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $109,076 per year, or $52.4 per hour.

Sr. Software Engineer (TS/SCI) with Security Clearance

Hampton, VA • On-site


IBM
IT Services • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

125th of 246 rated software companies

People enjoy working here

Good employer

Recommended by students


$100K - $120K/yr

Other

Re-posted 16 days ago


Job description

This team innovated a classified data service to support data-intensive assessment of Intelligence Surveillance Reconnaissance (ISR) system performance and effectiveness. We are seeking a software developer to improve existing features and innovate new features for a classified ISR data and analytics service. Responsibilities will include Improve algorithm performance, create new algorithms, improve data quality, incorporate new datasets, and enable new analytics. Maintain polyglot database environment and associated infrastructure, extend event-driven micro-services, and insert new technologies as appropriate to achieve stakeholder-desired capabilities. Interface with the client, stakeholders, military personnel, and data providers to ensure stakeholder buy-in and populate backlog for future innovation. This role is located onsite in the Washington DC area (primarily in Reston, VA) Your role and responsibilities As a Data Scientist with Advanced Analytics skills, you will leverage deep data and analytics expertise with strong business acumen to address business challenges. You will utilize data preparation, analysis, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes. Your primary responsibilities will include: • Develop Predictive Models: 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 and Gurobi for optimization and SPSS, SAS, R, and Python for statistical analysis. • Analyze Diverse Data: Manage and analyze diverse data types and structures using programming languages like Python and development environments such as PyCharm, VS Code, and Jupyter Notebooks. This involves data manipulation with Pandas, NumPy, and Dask, and data visualization with Matplotlib, Seaborn, and Plotly. • Deliver Data-Driven Insights: Utilize data preparation, analysis, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes. This includes applying machine learning, statistical modeling, and custom models in applications like supply chain management, pricing, risk assessment, and fraud detection. • Collaborate on Solution Delivery: Work collaboratively to deliver data-driven solutions, ensuring effective data management and analysis to inform business decision-making. • Maintain Technical Expertise: Stay up-to-date with industry-leading tools and technologies, including version control systems like Git, GitHub, and GitLab, and continuous integration and deployment (CI/CD) tools like Docker, Podman, and Jenkins. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise * US Citizen with active TS/SCI clearance or show immediate eligibility according to DISS security database
* Bachelor's Degree, preferably in STEM fields.
* 4+ years of Python or Java programming experience
* 4+ years of experience designing and programming applications in hybrid cloud or on-prem environments
* Experience with employing, customizing, optimizing, and/or managing database technology and validating data.
* Experience with custom ETL (Extract, Transform, Load) development (vice employing off-the-shelf solutions, e.g. Apache Nifi)
* Experience with designing algorithms to infer relationships between events or entities
* Experience prototyping end-to-end solutions on quick timelines that enable consequential decisions, actions, or insights that were previously deemed impossible Preferred technical and professional experience * Experience developing, deploying, or integrating generative and agentic AI systems
* Experience with employing, customizing, optimizing, and/or managing MongoDB
* Experience with Celery or analogous asynchronous task queue technologies
* Experience with CI/CD tools (e.g. Azure DevOps, Jenkins)
* Experience with national or military intelligence capabilities and their use
* Experience with installing, provisioning, configuring, securing, and maintaining on-prem infrastructure as well as databases and enabling software development tools
* Experience with MVC frameworks (e.g., React.js), Node.js, and Web API design

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About IBM

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At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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Benefits

Hours and flexibility

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