Position Description

**Secret Clearance Required to Start.**

100% on-site.

Company is seeking a Model-Based Systems Engineer to join the Phantom Works Systems Engineering and Integration Team in Berkeley, MO or Hazelwood, MO to support our exciting portfolio of proprietary Phantom Works projects critical to Company and our DoD Customers. In particular, autonomy and autonomous system development will be a focus area for this position. The selected candidate will work with Subject Matter Experts (SMEs) across the division to develop complex and highly integrated weapons systems while embracing the Model Based Systems Engineering (MBSE) and Digital Engineering strategy.
The selected individual will support system architects, engineering SMEs, and other stakeholders in implementing, developing and managing the MBSE approach for their programs, in coordination with the System Engineering team and program leadership. The ability to work in a collaborative team environment on-site and across engineering disciplines will be imperative to this role. The selected individual will work in a fast paced, innovative environment where excellent technical, organizational, leadership, written, and verbal communications skills are essential.
Our teams are currently hiring for a broad range of experience levels including; Associate and Experienced Level Model-Based Systems Engineer.

Position Responsibilities:
• Support cross-functional engineering teams in developing systems to meet project/program commitments, including support of deliveries and customer reviews
• Support the program in implementing MBSE as part of digital engineering to meet customer expectations
• Support Systems Engineering efforts such as requirements decomposition, system architecture, environments analysis, specification development, trade studies, program planning, interfaces management, risk management, certification planning & execution, verification & test planning, and overall integration and capture them in the MBSE model as appropriate
• Support interdisciplinary, collaborative approaches to plan, design, develop and verify complex systems solutions