Modeling/Sim Engr Principal

SAIC is seeking a Model-Based Systems Engineer (MBSE) / MBSE Modeler to join our team supporting a mission-critical national security program. In this role, you will design, develop, and maintain SysML-based system models that capture requirements, behavior, structure, interfaces, and data flows for complex, software-intensive and mission systems. You will work closely with systems engineers, software engineers, architects, and government stakeholders to ensure the digital engineering environment accurately represents the operational and technical baseline and drives design, verification, and decision-making. This is an Onsite position in Reston, VA.

Responsibilities

• Develop, maintain, and evolve models that represent system architectures, requirements, behaviors, interfaces, and data structures.
• Translate stakeholder needs and system requirements into model elements (requirements, blocks, activities, state machines, sequence diagrams, parametric diagrams, etc.).
• Establish and enforce modeling conventions, patterns, and best practices to ensure consistency, accuracy, and usability of MBSE products.
• Support the creation and maintenance of digital system architectures, including operational views, logical views, and physical views.
• Integrate MBSE models with requirements management tools and other digital engineering artifacts to maintain traceability from requirements through design and test.
• Collaborate with systems and software engineering teams to derive requirements, allocate functions, and validate that system and subsystem designs meet mission needs.
• Generate model-based reports, views, and visualizations to support technical reviews (SRR, PDR, CDR, TRR) and decision forums.
• Support verification and validation activities by ensuring requirements are properly captured, traced, and testable within the model.
• Participate in on-site meetings with government customers, presenting model content and explaining architectural decisions and trade-offs.
• Contribute to process improvement and tooling enhancements for MBSE and digital engineering across the program.

• U.S. Citizenship is required.
• Active TS/SCI clearance is required at time of hire.
• Bachelor’s degree in Systems Engineering, Electrical Engineering, Computer Science, Computer Engineering, or related technical discipline;
• Additional relevant experience may be considered in lieu of a degree in accordance with contract requirements.
• 5+ years of experience in systems engineering on complex systems; 3+ years** focused on MBSE modeling**.
• Hands-on experience with MBSE tools such as Cameo/MagicDraw, IBM Rational Rhapsody, Enterprise Architect, or similar.
• Demonstrated proficiency in SysML (requirements, block definition, internal block, activity, sequence, state machine, parametric diagrams).
• Experience integrating models with requirements management tools (e.g., DOORS, Jama, JIRA, Cameo DataHub) and maintaining requirements traceability.
• Solid understanding of systems engineering lifecycle processes, including requirements analysis, architecture/design, integration, and verification/validation.
• Ability to work onsite in a classified environment and coordinate closely with government and contractor teammates.
• Strong communication skills, with the ability to present complex model and architecture concepts to both technical and non-technical audiences.

Desired

• Master’s degree in Systems Engineering, Computer Science, or a related technical field.
• Experience supporting DoD or Intelligence Community (IC) programs.
• Experience implementing Digital Engineering strategies, including integration of MBSE models with simulation, analysis, and configuration management tools.
• Familiarity with UAF/DoDAF or other architecture frameworks and mapping them into SysML-based models.
• Experience with version control and configuration management of models (e.g., Git, SVN, Teamwork Cloud).
• Working knowledge of software-intensive architectures, service-based or microservices architectures, and complex distributed systems.
• Exposure to cloud and container technologies (AWS/Azure, Kubernetes, Docker) and how system architectures are represented in models.
• Certification(s) such as INCOSE ASEP/CSEP/ESEP, or vendor tool certifications (e.g., Cameo/MagicDraw).