Model-Based Systems Engineer – MBSE / NC3

Moseley Technical Services•Dedham, MA

2d•Onsite

About The Position

We are hiring a Model-Based Systems Engineer (MBSE) supporting Nuclear Command, Control and Communications (NC3) and the development of next-generation Strategic Weapon Systems in a Department of Defense (DoD) environment. This role applies MBSE, SysML, Cameo Systems Modeler, requirements management, DoDAF, systems engineering, test engineering, Agile development, and digital engineering practices to design, evaluate, implement, and deploy complex mission-critical systems. The Systems Engineer will identify and resolve system design weaknesses, develop system security documentation, support system accreditation and certification activities, and evaluate systems, networks, and information systems against applicable government security requirements. This position also develops technical engineering products throughout the system development life cycle (SDLC) and contributes to engineering frameworks used across multiple products and systems.

Requirements

U.S. Citizenship is required by Federal Law
Department of Defense Top Secret security clearance required at time of hire.
Bachelor’s degree in Systems Engineering or a related Science, Engineering, or Mathematics field with a minimum of 2 years of relevant experience; or a Master’s degree with a minimum of 6 months of relevant experience.
Hands-on Model-Based Systems Engineering (MBSE) experience, including experience with industry-standard MBSE tools such as Cameo Systems Modeler.
Experience developing and maintaining SysML models, including behavioral, structural, and requirements diagrams.
Experience applying MBSE methodologies to complex system architecture, including functional decomposition, interface definition, and trade study analysis.
Knowledge of systems engineering concepts, principles, theories, and technical standards with an MBSE-focused approach.
Experience with requirements management tools such as DOORS or DOORS Next Generation and integration of requirements with system models.
Experience with DoDAF or similar architecture frameworks supporting digital engineering initiatives.
Experience with systems engineering, test engineering, requirements management, and Agile development.

Nice To Haves

Experience supporting Nuclear Command, Control and Communications (NC3), Strategic Weapon Systems, or related DoD programs.
Experience advancing MBSE adoption across cross-functional engineering teams.
Experience applying AI-driven approaches to MBSE, digital engineering, or systems engineering process improvement.

Responsibilities

Apply Model-Based Systems Engineering (MBSE) methodologies and digital engineering practices to the design, implementation, and deployment of Strategic Weapon Systems supporting NC3.
Develop and maintain SysML models, including behavioral, structural, and requirements diagrams.
Use Cameo Systems Modeler and MBSE methodologies to architect complex systems and communicate system designs.
Perform functional decomposition, interface definition, requirements analysis, and trade study analysis.
Identify, analyze, and resolve system design weaknesses throughout the system development life cycle.
Develop and evaluate systems, networks, and information systems to ensure designs meet applicable government security specifications.
Develop system security documentation and support system accreditation, certification, evaluation, and testing activities.
Generate technical systems engineering products throughout the system development life cycle.
Manage and trace system requirements using requirements management tools such as DOORS and DOORS Next Generation.
Integrate requirements management processes with system models to improve traceability and digital engineering workflows.
Apply DoDAF or similar architecture frameworks to support system architecture and digital engineering initiatives.
Support systems engineering and test engineering activities within Agile development environments.
Contribute to systems engineering frameworks, methodologies, and technical approaches used across multiple products and systems.
Identify opportunities to apply MBSE and AI-driven approaches to improve engineering processes, system development, and technical innovation.