Jr. Systems Engineer (Digital Engineering Methodology)
KBR · Chantilly, Virginia ·
- Seniority
- Junior
- Category
- Software engineering
- Experience
- 0+ years
KBR · Chantilly, Virginia ·
Title:
Jr. Systems Engineer (Digital Engineering Methodology)Belong. Connect. Grow. with KBR!
KBR’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work 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 our team on site in Chantilly, VA. TS/SCI with poly is required for consideration.
Why Join Us?
Innovative Projects: KBR’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.
Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.
Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.
This effort is in direct support of a US Space Industry Prime Partner in the Chantilly, VA area. We are looking for the self-driven, the bold, the passionate Systems Engineers who will 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!
Key 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.
Examples of such processes and methods include: Model Based Systems Engineering (MBSE) processes applicable for systems engineering and analyses processes, development of digital thread framework, model portfolio development (e.g. standards for model integration and interoperability to include industrial partner models, meta-models, profiles, ontology, model repositories, modeling languages, and digital model libraries of reusable patterns and templates), model quality and review processes, and updating acquisition methods (e.g. developing DE-based data item descriptions).
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.
Basic Compensation:
$82,000 - $102,000 USD annually
The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity.
Work Environment:
Location: On-site
Travel Requirements: Minimal
Working Hours: Standard
Required Qualifications:
Must possess a current/active TS/SCI clearance with Polygraph.
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.
Desired Qualifications:
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
Ready to Make a Difference?
If you’re excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together.
KBR Benefits
KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.
Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.