Junior Systems Engineer (Digital Engineering Process Support)
About The Position
KBR/Trinzic is seeking a Junior Systems Engineer to provide digital engineering process support to a US Space Industry Prime Partner in Chantilly, Virginia. The role is performed on site and requires an active TS/SCI clearance with Polygraph. Under the supervision of experienced systems engineering professionals, the engineer will help develop and apply Digital Engineering (DE) processes and methods for enterprise-wide adoption, drawing on industry best practices and trends. The position offers foundational experience supporting the modernization of systems engineering and acquisition processes through Model-Based Systems Engineering (MBSE) and related digital engineering approaches. The work includes supporting enterprise-level approaches that make models, data, and information accessible, interconnected, and structured to support organizational goals. Examples of relevant work include developing digital thread frameworks and model portfolios; establishing standards for model integration and interoperability; supporting model quality and review processes; and updating acquisition methods using DE-based data item descriptions. The engineer will also support federated modeling across the enterprise and mission partners, follow established MBSE methodology guidelines, and communicate modeling concepts and best practices to stakeholders at varying levels. Travel is minimal and working hours are standard.
Requirements
- Current, active TS/SCI clearance with Polygraph.
- Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) discipline.
- Foundational understanding of systems engineering principles and familiarity with Digital Engineering (DE) or 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 and ability to collaborate effectively with teammates and stakeholders.
Nice To Haves
- Master's degree in Systems Engineering or a related field.
- Exposure to MBSE tools or coursework, such as SysML.
- General awareness of digital industry trends such as Cloud/IaC, Data Analytics, DevSecOps, AWS or Azure, and containerization/micro-services.
- Basic knowledge of 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 with Digital Engineering processes and methods for enterprise-wide adoption, under the supervision of experienced systems engineering professionals.
- Apprentice to experienced MBSE practitioners and support modernization of systems engineering and acquisition processes.
- Deliver foundational digital engineering approaches that ensure engineering and MS&A processes are met.
- Assist technical teams and leadership with implementing MBSE methods and techniques.
- Assist in developing and supporting enterprise-level digital engineering approaches so models, data, and information are accessible, interconnected, and structured to support organizational goals.
- Ensure systems engineering and MS&A processes specified in SOW requirements are followed.
- Support federated modeling across the enterprise and mission partners.
- Adhere to the team's established MBSE modeling methodology guidelines and principles.
- Communicate modeling concepts and best practices to stakeholders at varying levels.
- Support development of digital thread frameworks, model portfolios, standards for model integration and interoperability, meta-models, profiles, ontology, model repositories, modeling languages, and reusable model libraries, as applicable.
- Support model quality and review processes and updates to acquisition methods, including DE-based data item descriptions.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
