Systems Engineer II – Model-Based Systems & Digital Engineering

We are seeking a Systems Engineer with Model-Based Systems Engineering (MBSE) experience to support programs and engineering initiatives as part of our growing Digital Ecosystem organization. This position will apply systems engineering and MBSE methods to complex program and enterprise challenges, helping teams better define, understand, integrate, and manage their systems throughout the lifecycle. The successful candidate will combine strong systems thinking with practical modeling skills and the ability to work effectively with engineers across multiple disciplines. The role extends beyond building models. Our objective is to use models, authoritative data, connected engineering processes, and modern digital capabilities to improve engineering execution and decision-making. The Engineering, Science and Analysis (ESA) Strategic Capabilities Unit comprises the technical talent and organizational leadership that enables the successful delivery of high-impact discriminating technologies for our customers’ missions. Our collaborative, cross-functional teams are committed to innovation, integrity, continual learning and strong execution. What You’ll Do:

Apply systems engineering and MBSE methods to program and engineering challenges.

Develop and maintain system models representing requirements, functions, behaviors, interfaces, architectures, and other system relationships.

Work with engineering teams to translate technical information and engineering intent into useful system models and architectures.

Support requirements analysis, functional decomposition, interface definition, architecture development, trade studies, and system integration.

Help programs establish effective MBSE approaches appropriate to their lifecycle, complexity, and execution needs.

Integrate systems engineering models with related engineering and program information to support a connected digital thread.

Assess existing engineering processes and identify opportunities for improved integration, automation, reuse, and data continuity.