Jr. Systems Engineer (Digital Engineering Methodology)

KBR•Chantilly, VA

1d•Onsite

About The Position

KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to customers in the intelligence and national security communities. This position will have a profound impact on the country’s most critical role – protecting our national security. KBR is seeking a Junior Systems Engineer (Digital Engineering Methodology) to join their team on site in Chantilly, VA. TS/SCI with poly is required for consideration. This effort is in direct support of a US Space Industry Prime Partner in the Chantilly, VA area. KBR is looking for self-driven, bold, and passionate Systems Engineers to join KBR on an exciting journey of professional thrill and personal growth as the team pursues and steps up to strategic Customer Enterprise-level challenges.

Requirements

Bachelor’s Degree in a Science, Technology, Engineering, or Mathematics (STEM) discipline and 0 years of experience.
Foundational understanding of systems engineering principles and familiarity with Digital Engineering (DE)/Model-Based Systems Engineering (MBSE).
Basic understanding of data concepts and technologies such as relational databases, ontology, Unified Architecture Framework (UAF) or Systems Modeling Language (SysML).
Strong communication skills with the ability to collaborate effectively with teammates and stakeholders.
The ability to obtain and maintain a TS/SCI with Poly is required to be considered for this position.

Nice To Haves

Masters degree in Systems Engineering or relative field.
Exposure to MBSE tools or coursework (e.g., SysML) is desired
General awareness of digital industry trends such as Cloud/IaC, Data Analytics, DevSecOps, AWS and/or Azure, Containerization/micro-services
Basic knowledge or academic exposure to satellite or space-based technologies
Familiarity with Operations Research/Systems Analysis concepts
Introductory knowledge of Digital Thread or Digital Twin concepts
Willingness to learn and grow within systems engineering disciplines

Responsibilities

Assist experienced systems engineering staff under supervision with Digital Engineering (DE) processes and methods for enterprise-wide adoption based on industry best practices and trends.
Apprentice to experienced MBSE practitioners and support them in their effort to enable modernization of systems engineering and acquisition leveraging MBSE.
Under supervision, deliver foundational digital engineering (DE) approaches that ensure the engineering and MS&A processes are met.
Assist technical teams and leadership in the implementation of MBSE methods and techniques.
Assist in developing and supporting enterprise level digital engineering approaches, ensuring that models, data, and information are accessible, interconnected, and structured to support organizational goals.
Ensure that systems engineering and MS&A processes covered in the SOW requirements are followed.
Support the federated modeling approach across the enterprise and mission partners.
Adhere to the MBSE modeling methodology guidelines and principles established by the team.
Ability to communicate modeling concepts and best practices to stakeholders at varying levels.