Model-Based Systems Engineer (MBSE)

Target Labor Category: Junior
Position Location: Chantilly, VA (Customer Site)
Clearance Required: TS/SCI with Polygraph

Stratos Solutions has an opportunity for a Model-Based Systems Engineer (MBSE) to support an Intelligence Community (IC) Space customer in Chantilly, VA. The selected candidate will operate in a collaborative engineering environment developing and maintaining digital engineering artifacts and MBSE models for space and space-related systems.

This role supports mission-focused modeling, simulation, and technical analysis efforts delivering actionable engineering insight and decision support to senior stakeholders. The successful candidate will contribute to the development of system architectures, digital thread capabilities, and federated model frameworks that enhance technical rigor and mission understanding across satellite and ground system domains.

If you are passionate about advancing digital engineering practices and applying MBSE to complex space systems, we encourage you to apply.

Stratos Solutions delivers mission-focused engineering, acquisition, and operations support to the Intelligence Community and national security space enterprise. As an employee-owned company, Stratos combines technical excellence, operational agility, and a deep commitment to customer mission success. Our teams work at the forefront of space and intelligence innovation supporting programs critical to national security.

The Model-Based Systems Engineer will support the development, integration, and sustainment of MBSE models and digital engineering capabilities for space and space-related mission systems.

Responsibilities include, but are not limited to:

• Support development and maintenance of MBSE models across satellite and ground system domains.

• Contribute to modeling of system architectures, interfaces, data flows, verification methods, and requirements traceability.

• Implement configuration management practices within federated modeling environments.

• Run model validation suites and ensure compliance with established modeling standards and style guides.

• Integrate MBSE models with other systems engineering lifecycle tools and datasets to support digital thread implementation.

• Support linkage of requirements, architecture, verification, and test artifacts within a model-based environment.

• Assist in integrating Modeling, Simulation, and Analysis (MS&A) data sets with MBSE artifacts to support technical analysis and decision-making.

• Participate in collaborative model working groups with multidisciplinary engineering teams.

• Assist in training new MBSE practitioners on modeling tools, processes, and digital engineering methods.

• Support development and delivery of technical briefings and live demonstrations for senior government stakeholders.

• Present modeling results and technical findings to internal and external customers.

• Degree in STEM (Science, Technology, Engineering, or Mathematics)

• Experience across multiple systems engineering disciplines including:

  • Architecture development

  • Requirements engineering

  • Integration and test

  • Risk management

  • Technical project coordination

• Experience implementing Unified Architecture Framework (UAF) domains and modeling language

• Experience modeling cybersecurity requirements, controls, and architectures

• Experience integrating Modeling, Simulation, and Analysis (MS&A) datasets with MBSE artifacts

• Familiarity with digital engineering initiatives within the IC or DoD space enterprise

• Bachelor’s Degree in Systems Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, or related technical field
  (Relevant experience may substitute for degree requirements)

• Active TS/SCI with Polygraph

• 3+ years of experience developing and maintaining MBSE models

• Experience applying MBSE to space, satellite, ground, or complex mission systems

• Familiarity with SysML and MBSE modeling tools (e.g., Cameo, MagicDraw, or similar)

• Understanding of systems engineering lifecycle processes

• Strong written and verbal communication skills

• Ability to present technical findings to internal and external stakeholders