Model Based Systems Engineer

Team: Engineering

Location: El Segundo, CA

Commitment: Full-time

Workplace Type: onsite

Salary:

• Provide leadership advice on mission engineering strategies for SoS architectures and strategic messaging to key operational and government stakeholders.
• Provide systems engineering and mission architecting support.
• Technical requirements generation/review/compliance, space systems technical review and assessment, and risk assessment.
• Identify activities and functions critical to mission thread development, deriving and modeling the as-is and to-be functional and physical architectures.
• Provide program and technical insight to the modeling and analysis staff regarding system architecture designs, interfaces, schedule, and assumptions.
• Drive integration and utilization of Digital Engineering practices of Model-Based Systems Engineering and Modeling, Simulation, & Analysis to include the conversion of legacy Systems Engineering content into digital formats.

Required Qualifications

• Bachelor of Science in Engineering or a relevant discipline with 9+ years of experience with:
  • Systems engineering and architecting for major systems acquisitions.
  • Model-Based Systems Engineering (MBSE) methods and descriptive modeling frameworks such as SysML.
  • Cameo Systems Architect or Sparx Enterprise Architect.
  • DoDAF views on system of system architectures and plans.
  • Must have an in-scope security background investigation (T5), adjudicated for SCI eligibility and enrolled in the Continuous Evaluation program (as applicable).
  • TS/SCI clearance required. 
  • Travel is 10%.

Preferred Qualifications:

• Master’s Degree, 7+ years of relevant experience is preferred.
• Fluency in Department of War architectural frameworks (e.g., DoDAF).
• Military Space Operations with an emphasis in Space Domain Awareness programs and capabilities.
• Experience working in development environment and, or U.S. Government weapons system program office.
• Led the integration of MBSE with Modeling and Simulation leading to a validated and verified system architecture.
• Professional certification (e.g., Professional Engineer, INCOSE CSEP, etc.).
• Knowledge of Digital Engineering and operational analysis processes and tools, as well as their application in producing data-driven analysis results.