Model-Based Systems Engineer

Apply MBSE methodologies, tools, and best practices to support complex systems engineering efforts.

• Develop, maintain, and analyze system models using industry-standard modeling languages and frameworks, including SysML, UML, and UAF.
• Support program teams in MBSE development activities throughout the systems engineering lifecycle.
• Collaborate with engineering leadership and project teams to enhance MBSE processes, standards, and best practices.
• Assist in the development of MBSE training materials and knowledge-sharing initiatives.
• Provide technical guidance related to model development, architecture, requirements, and systems analysis.
• Contribute to Digital Engineering transformation efforts utilizing virtualized and cloud-based engineering environments.
• Work closely with cross-functional engineering teams to improve model quality, consistency, and effectiveness.

Active Secret Security Clearance.

• Bachelor’s degree in Engineering, Computer Science, Mathematics, Physics, or another STEM-related field with 8+ years of Systems Engineering experience; or Master’s degree in a STEM-related field with 6+ years of Systems Engineering experience.
• Minimum 5 years of experience developing models and implementing MBSE methodologies, tools, and best practices.
• Experience with MagicDraw/Cameo and associated plugins.
• Proficiency with SysML, UML, and related modeling frameworks.
• Experience creating model queries, performing system analysis, and solving engineering challenges through model-based approaches.
• Strong written and verbal communication skills.
• Ability to collaborate effectively within multidisciplinary engineering teams.
• Experience contributing to MBSE process development, training, and implementation activities., Experience with cloud technologies and platform services such as AWS or Azure.
• Experience developing large-scale system models, including parametric modeling and simulation execution.
• Familiarity with Agile development frameworks and task management tools such as Jira.
• Experience with Modeling, Simulation, Visualization, and Analysis (MSVA).
• Knowledge of Machine Learning (ML) and Artificial Intelligence (AI) technologies.
• Familiarity with Government Reference Architectures (GRAs) and autonomous systems.
• Experience supporting all phases of the systems engineering and product development lifecycle.
• Previous experience developing and delivering technical training.
• Experience creating engineering training materials and documentation.
• Electronic Warfare (EW) experience.

Our client, a leading defense technology organization, is seeking a Model-Based Systems Engineer (MBSE) to support enterprise-wide Digital Engineering initiatives. This individual will help drive the adoption of Agile-MBSE practices, support engineering teams in model development activities, and contribute to the advancement of model-based methodologies across multiple programs.

This is an exciting opportunity to work with cutting-edge digital engineering technologies while collaborating with experienced systems engineers, architects, and program leadership on mission-critical defense systems.