AFSIM Analyst

We are seeking an experienced Advanced Framework for Simulation, Integration, and Modeling (AFSIM) Analyst to support Army Aviation modernization efforts through Modeling, Simulation, and Analysis (MS&A) activities at Fort Rucker, Alabama.

Responsibilities

• Support the development, integration, and execution of AFSIM-based Modeling, Simulation, and Analysis (MS&A) capabilities.
• Assist government engineers and analysts in transitioning legacy models, data, scenarios, and analytical workflows into the modernized Integrated Digital Environment.
• Develop, configure, and maintain AFSIM models, scenarios, simulations, and analytical products supporting Army Aviation missions.
• Support mission engineering, mission effectiveness analysis, operational analysis, and experimentation activities.
• Develop and execute simulation scenarios to evaluate current and future Army Aviation concepts, capabilities, and operational requirements.
• Support modeling of aviation platforms, sensors, weapons, communications, electronic warfare, survivability, threats, and operational behaviors.
• Support analysis of Manned-Unmanned Teaming (MUM-T), launched effects, and emerging Army Aviation operational concepts.
• Assist in integrating AFSIM with other government-directed simulation, modeling, and analysis tools within the Integrated Digital Environment.
• Identify and troubleshoot simulation, modeling, data, and integration issues and recommend solutions.
• Support verification, validation, accreditation, and configuration management activities for AFSIM models and associated simulation components.
• Analyze simulation outputs and develop technical findings, recommendations, briefings, reports, and other engineering documentation.
• Participate in technical meetings, working groups, design reviews, experimentation events, and technology demonstrations.
• Collaborate with government engineers, systems engineers, software developers, military analysts, aviators, operators, and capability developers.
• Provide technical recommendations to support programmatic, engineering, and capability-development decisions.
• Maintain awareness of emerging Army Aviation technologies, Future Vertical Lift (FVL) initiatives, MUM-T, launched effects, and evolving operational requirements.
• Support the development and refinement of MS&A processes, tools, data, and analytical methodologies.

Requirements

• U.S. Citizen and an active DoD Secret security clearance.
• Bachelor's degree in Engineering, Computer Science, Operations Research, Mathematics, Physics, or another related technical discipline.
• Demonstrated experience with AFSIM or comparable military Modeling, Simulation, and Analysis environments.
• Experience supporting MS&A, mission analysis, operational analysis, mission engineering, or military simulation activities.
• Understanding of military simulation concepts, scenario development, data analysis, and simulation execution.
• Ability to analyze complex technical information and translate results into clear findings and recommendations.
• Strong written, verbal, analytical, and interpersonal communication skills.
• Ability to work independently and effectively as part of a multidisciplinary government/contractor team.

Preferred Qualifications

• Direct experience supporting Army Aviation programs, organizations, or mission analysis activities.
• Hands-on experience developing or modifying AFSIM scenarios, models, inputs, outputs, or analysis products.
• Experience with aviation platforms, sensors, weapons, communications, electronic warfare, aircraft survivability, or threat modeling.
• Familiarity with Future Vertical Lift (FVL), MUM-T, launched effects, or other emerging Army Aviation concepts.
• Experience with mission engineering and mission effectiveness analysis.
• Familiarity with digital engineering and Integrated Digital Environments (IDE).
• Experience with simulation interoperability and integration of multiple MS&A tools.
• Knowledge of modeling and simulation verification, validation, accreditation, and configuration management.
• Experience with analytical tools such as MATLAB, Python, C++, C#, or other modeling and analysis tools.
• Familiarity with Modular Open Systems Approach (MOSA) principles and modern digital engineering practices.
• Experience supporting prototype development, experimentation events, demonstrations, or operational assessments.