MBSE Systems Engineer - AI Reliability Engineering

Basic Qualifications

Education 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.

Clearance Requirements:

Department of Defense Secret security clearance obtainable within reasonable time based on requirements. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.

Responsibilities for this Position

ROLE AND POSITION OBJECTIVES:

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.

What sets you apart:

• 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. 
• Experience applying MBSE to complex systems across the full system lifecycle, including stakeholder need identification, functional decomposition, interface definition, and trade study analysis
• Clear understanding of systems engineering concepts, principles, theories, and technical standards
• Creative thinker who can leverage MBSE models to quickly communicate complex system designs and handle increasing responsibilities with growing complexity
• Collaborative team player and strong communications skills
• Commitment to ongoing professional development for yourself and others
• Experience using AI-driven approaches to MBSE for continuous improvement and innovation

Our Commitment to You:

• An exciting career path with opportunities for continuous learning and development. 
• Research oriented work, alongside award winning teams developing practical solutions for our nation’s security
• Flexible schedules with every other Friday off work, if desired (9/80 schedule)
• Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more
• See more at gdmissionsystems.com/careers/why-work-for-us/benefits

Workplace Options:This position is fully remote, with proximity to a major GDMS facility. 

Salary Note

This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.

Combined Salary Range

USD $112,924.00 - USD $125,275.00 /Yr.

Company Overview

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans