AFSIM Modeling & Simulation Lead
Listed on 2026-08-09
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Research/Development
Operations Research Analyst
AFSIM Modeling & Simulation Analyst
MUST BE ABLE TO OBTAIN/MAINTAIN A DOD SECRET CLEARANCE
Location:
Rosslyn, Virginia
This role supports mission-level analysis, operational scenario development, and modeling of sensors, platforms, and behaviors within AFSIM-based environments. The analyst will translate operational concepts into executable simulations that inform capability development, CONOPS evaluation, and system-of-systems performance assessments.
Key Responsibilities- Develop, configure, and execute mission-level scenarios in AFSIM aligned with analytical objectives.
- Build and refine sensor, weapon, and platform models, including detection logic, engagement behaviors, and environmental interactions.
- Script scenario behaviors using AFSIM scripting languages (Lua, Python, or equivalent) to represent tactics, decision logic, and mission flows.
- Conduct scenario validation, ensuring correctness of entity behaviors, timelines, and interactions.
- Perform quantitative analysis of simulation outputs, including MOEs/MOPs, timelines, attrition, sensor performance, and mission outcomes.
- Support development of scenario documentation, assumptions, and analytical traceability.
- Collaborate with senior analysts to design experiment architectures, vignettes, and sensitivity studies.
- Maintain and update scenario libraries, model configurations, and documentation for reuse across programs.
Bachelor's degree in engineering, physics, operations research, applied math, or a related field.
Experience with modeling & simulation, preferably mission-level or constructive simulations.
Familiarity with AFSIM or similar simulation frameworks.
Basic scripting experience (Lua, Python, or similar).
Ability to interpret operational concepts and translate them into simulation constructs.
Analytical skills and comfort working with quantitative data.
Preferred QualificationsExperience with sensor modeling, detection theory, or engagement logic.
Exposure to mission threads, CONOPS, or system-of-systems analysis.
Familiarity with Git, version control workflows, and collaborative development environments.
Ability to communicate analytical findings clearly to technical and non-technical audiences.
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