MBSE Systems Engineer - AI Reliability Engineering

General Dynamics Mission Systems, Inc•,

6d•$118,519 - $131,482•Remote

About The Position

As a Model-Based Systems Engineer for the AI Reliability Engineering (AIRE) team, you’ll be a member of a cross functional team responsible for leading the design, development, and integration of complex enterprise systems using MBSE methodologies. We encourage you to apply if you have extensive hand-on experience with MBSE, Systems and Test Engineering, and Requirements Management.

Requirements

Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 5 years of relevant experience; or Master's degree, plus a minimum of 3 years of relevant experience.
Ability to obtain a Department of Defense Secret security clearance is required at time of hire.
Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information.
U.S. citizenship is required.
Extensive hand-on experience with MBSE, Systems and Test Engineering, and Requirements Management.
Experience in Model-Based Systems Engineering (MBSE), including direct hands-on experience with industry-leading MSBE tools, such as Cameo Systems Modeler.
Demonstrated ability to develop and maintain SysML models, including behavioral, structural, and requirements diagrams.
Clear understanding of systems engineering concepts, principles, theories, and technical standards.
Collaborative team player and strong communications skills.

Nice To Haves

Creative thinker who can leverage MBSE models to quickly communicate complex system designs and handle increasing responsibilities with growing complexity.

Responsibilities

Leading the design, development, and integration of complex enterprise systems using MBSE methodologies.
Applying MBSE to complex systems across the full system lifecycle, including stakeholder need identification, functional decomposition, interface definition, and trade study analysis.
Using MBSE models to quickly communicate complex system designs and handle increasing responsibilities with growing complexity.
Commitment to ongoing professional development for yourself and others.
Experience using AI-driven approaches to MBSE for continuous improvement and innovation.