Modeling & Simulation Engineer, Mid

Overview As a Mid-level Modeling & Simulation Engineer at Booz Allen, you will develop and test multi-domain defense simulations, building system-level models for aeronautical, space, ground, sea, and undersea domains. You will run high-fidelity physics-based simulations, perform Monte Carlo analyses, and support strategy and requirements through detailed model development. You’ll apply the latest tools and techniques to ensure architectures reflect current and future environments. This role offers meaningful impact shaping defense modeling and wargaming initiatives. Compensation / Benefitshealth benefitslife benefitsdisability benefitsretirement benefitspaid leaveprofessional development ResponsibilitiesDevelop and use system, subsystem, and component models for multi-domain defense simulationsRun high-fidelity physics-based simulations and perform Monte Carlo analysisDevelop and implement high-fidelity models to support strategy, technology development, requirements, and designConduct simulation trades and ensure alignment with current architecture and future enhancementsCollaborate with cross-domain teams to model communications networks and systemsPost-process simulation results and create dashboards and briefs with quantitative analyses Key requirements3+ years in physics-based modeling & simulationExperience with GOTS tools such as AFSIM, EADSIM, ITASE, Command PE, or NGTSExperience modeling entire systems or components (sensors, propulsion, vehicles, weapons)Knowledge of mission-level system functions, dynamics, kinematics, sensor and weapon interactions, and discrete/continuous simulationsAbility to analyze performance metrics and verify models using reference dataProficiency in object-oriented programming (Python, Java, C#, or C++)Strong engineering rigor to solve complex problemsTop Secret clearanceBachelor in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Physics, or STEM fieldability to simplify complex concepts and distill information for broad audiencesself-starter, ambitious, fast learnerproactive problem-solving mindsetPython, Java, C#, or C++ programmingMonte Carlo analysis and post-processing of simulation resultsGOTS tools: AFSIM, EADSIM, ITASE, Command PE, NGTS