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Discrete Event Simulation Jobs in Washington (NOW HIRING)

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 ...

Experience with discrete event simulation, geospatial and/or temporal databases, and performing scientific evaluations and comparisons is highly valued. * Google Cloud Platform : Experience using and ...

Sr. Software Engineer (TS/SCI)

Chantilly, VA · On-site

$117K - $140K/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)

Bethesda, MD · On-site

$122K - $147K/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 ...

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)

Mclean, VA · On-site

$117K - $141K/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)

Washington, DC · On-site

$129K - $155K/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)

Alexandria, VA · On-site

$122K - $146K/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)

Herndon, VA · On-site

$117K - $141K/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 ...

Data Scientist

Annapolis, MD · On-site

$100K - $200K/yr

Experience with Free Open-Source Software and Commercial Off-The Self Software products in statistics, Monte Carlo or discrete event simulation, extract, transform, and load Extract, Transform, Load ...

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)

Annapolis Junction, MD · On-site

$117K - $140K/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 ...

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Discrete Event Simulation information

What is a Discrete Event Simulation job?

A Discrete Event Simulation (DES) job involves developing models to simulate complex systems where changes occur at distinct points in time. Professionals in this role use specialized software and mathematical modeling to analyze processes in areas like manufacturing, logistics, healthcare, and defense. Their goal is to identify inefficiencies, optimize performance, and support decision-making by predicting system behaviors under various conditions. The job typically requires expertise in programming, statistics, and system dynamics.

What are the common challenges faced by professionals working in Discrete Event Simulation roles?

One of the most common challenges in Discrete Event Simulation roles is accurately modeling complex real-world systems while balancing model detail and computational efficiency. Professionals often need to collect, validate, and process large datasets, requiring both technical acumen and critical thinking. Additionally, communicating simulation results and recommendations to non-technical stakeholders can be demanding but is crucial for implementing process improvements. Collaborative work with cross-functional teams, such as engineers and managers, is common, making strong teamwork and adaptability important assets in this role.

What are the key skills and qualifications needed to thrive in the Discrete Event Simulation position, and why are they important?

To excel in Discrete Event Simulation, candidates typically need a strong background in mathematics, statistics, computer science, and a relevant degree such as industrial engineering or operations research. Familiarity with simulation software like Arena, Simul8, or AnyLogic—as well as programming skills in languages such as Python or C++—is often required, and certifications in simulation or data analytics are advantageous. Strong analytical thinking, effective communication, and attention to detail are valuable soft skills in this field. These competencies enable professionals to develop accurate simulation models, interpret complex data, and effectively communicate findings to stakeholders, ensuring impactful decision support.

Infographic showing various Discrete Event Simulation job openings in Washington as of June 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% In-person job distribution.
Software Engineer TS/SCI (FSP)

Software Engineer TS/SCI (FSP)

IBM

Chantilly, VA • On-site

Full-time

Posted 7 days ago


IBM rating

7.9

Company rating: 7.9 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

100th of 191 rated software companies


Job description

Job Summary:
IBM is seeking a versatile software engineer with TS/SCI US Government security clearance to join a small agile team focused on designing and maintaining secure software solutions for government clients. The role involves developing predictive models, analyzing diverse data, and delivering data-driven insights while collaborating on solution delivery and maintaining technical expertise.
Responsibilities:
• 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.
Qualifications:
Required:
• US Citizen with active TS/SCI clearance and in-scope full-scope polygraph required on Day 1
• Bachelor’s degree in computer science, software engineering, or related technical field.
• 3+ years of experience in software development, preferably in federal or defense environments.
• Proficiency in one or more programming languages (e.g., Java, Python, C++).
• Experience with secure coding practices and working in classified environments.
• Familiarity with cloud platforms (AWS GovCloud, Azure Government) and containerization (Docker, Kubernetes).
• Strong understanding of software development lifecycle (SDLC), Agile methodologies, and version control (Git).
• Must be willing to work 5 days per week in SCIF in Annapolis Junction, MD
Preferred:
• 1+ year of experience conducting software engineering work on AWS classified cloud architecture.
• Certifications such as Security+, AWS Certified Developer, or Certified Kubernetes Application Developer (CKAD).
• Experience with microservices architecture and RESTful APIs.
• Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible).
• Experience working within a high-performance compute environment.
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About IBM

Sourced by ZipRecruiter

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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