Job Summary We are seeking a Model-Based Systems Engineer (MBSE) to support the development of digital architectures and authoritativeMA at the national security level. This role supports engineering efforts within a Modeling, Analytics, and Simulation Sciences environment and focuses on building authoritative system models that contribute directly to defense and intelligence missions. The ideal candidate will collaborate with engineers and software developers to create, maintain, and analyze system and system-of-systems models using modern MBSE methodologies. Key Responsibilities • Develop and maintain authoritative system architecture and behavior models using SysML • Apply MBSE methodologies to complex systems and systems-of-systems • Create and manage engineering artifacts, models, and integrated datasets • Collaborate with multidisciplinary teams including engineers, software developers, contractors, and government stakeholders • Produce and present technical documentation, model artifacts, and analysis results • Support analysis and decision-making through model-based data and architecture insights Required Qualifications • Bachelors degree in Systems Engineering, Aerospace Engineering, or a related technical field • Minimum of 3 years of relevant professional experience • Strong knowledge of SysML for system architecture and behavior modeling • Proficiency with MBSE tools such as Cameo Systems Modeler, MagicDraw, IBM Rhapsody, or Enterprise Architect • Demonstrated experience developing and maintaining models for complex systems • Ability to work effectively in a multidisciplinary team environment • Strong written and verbal communication skills • Active TS/SCI security clearance Desired Qualifications • Masters degree in an engineering discipline or relevant professional certifications (e.g., OCSMP, INCOSE CSEP, PMP) • Knowledge of object-oriented programming languages such as Java, C++, or Python • Experience with architecture frameworks such as DoDAF, UAF, or similar • Ability to analyze architectural and engineering data to solve complex problems and recommend improvements • Familiarity with aerospace or defense systems and processes • Knowledge of modeling and simulation (M&S) tools and practices