Model-Based Systems Engineer with Security Clearance

Overview 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.

Key Responsibilities
- 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.

Required Qualifications
- 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 Magic Draw/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.

Preferred Qualifications

- 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.