MBSE Systems Engineer

SAIC•San Diego, CA
•Onsite

About The Position

SAIC is seeking a cleared MBSE Systems Engineer and current Model-Based Engineering practitioner to support a portfolio of Battlespace Awareness and Information Operations (BAIO) capabilities for a DoD customer. The role joins a team of solution architects deploying solutions for Information Operations; Intelligence, Surveillance and Reconnaissance; and Meteorology and Oceanography capabilities. The work applies Systems Engineering and Integration (SE&I) methods and Model-Based Systems Engineering to support program success. The engineer will use systems engineering and model-based engineering experience to help programs transition from document-centric to model-based approaches. The role involves applying systems engineering processes, methods, tools, and program roles; improving and deploying a model-based SE&I platform; capturing stakeholder and system requirements; and helping program teams understand and use SE&I solutions. The engineer will work with other systems engineers and the broader community to develop work products and advance SE&I capabilities.

Requirements

  • Ability to build relationships with stakeholders, government technical representatives, and supporting contractors.
  • Excellent written and oral communication skills, ability to work independently or collaboratively, and ability to brief senior government personnel.
  • Bachelor’s degree in science, engineering, or math and five or more years of experience; or a master’s degree and three or more years of experience; or a PhD and zero years of experience. Four additional years of experience may substitute for advanced education.
  • Intermediate or advanced experience with MBSE tools and procedures, including enterprise modeling tools for complex systems using SysML, UPDM, BPMN, and/or UAF.
  • Secret clearance and ability to obtain TS/SCI clearance.
  • Demonstrated experience modeling large-scale, complex systems of systems.
  • Experience using CAMEO Enterprise Architect and Team Work Cloud.
  • Experience with GitLab.
  • Experience with AFSIM and modeling and simulation practices to build, test, and refine complex system architectures.

Nice To Haves

  • Prior military experience with C4I systems.
  • Prior experience with unmanned systems and unmanned payloads.
  • INCOSE ASEP/CSEP certification.
  • Familiarity with the Scaled Agile Framework (SAFe).
  • Understanding of PEO C4I / NAVWAR organizational structure, programs of record, and mission focus.
  • Basic familiarity with programs of record, Department of Defense, and U.S. Navy acquisition documents.

Responsibilities

  • Apply Systems Engineering and Model-Based Engineering experience to help transform programs from document-centric to model-based approaches.
  • Develop, implement, and deploy Systems Engineering and Integration solutions for individual programs.
  • Use and continuously improve the model-based SE&I platform to capture stakeholder and system requirements and support understanding of SE&I solution usage.
  • Work with systems engineers supporting programs to promote understanding of modeling and assist with Systems Engineering work products, including system specifications, logically derived and linked requirements, architecture descriptions, interface definitions, system diagrams, and trade studies.
  • Engage with the broader community to stay informed about trends, emerging technologies, approaches, methods, and techniques that can mature or expand SE&I capabilities.
  • Model large-scale, complex system-of-systems architectures, ensuring components and interfaces are represented accurately.
  • Collaborate with stakeholders, engineers, and program managers to gather requirements and understand system interactions.
  • Lead architecture working groups and technical interchange meetings to communicate and review architectural models.
  • Convert customer or product requirements systematically into total systems solutions that account for technical, schedule, and cost constraints.
  • Use AFSIM and modeling and simulation practices to build, test, and refine complex system architectures.
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