Junior Systems Engineer (Digital Engineering Process Support)

KBR•Chantilly, VA
•$82,000 - $102,000•Onsite

About The Position

KBR/Trinzic is seeking a Junior Systems Engineer to support a US Space Industry Prime Partner in Chantilly, Virginia. The role is performed on site and requires a current, 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 practices and trends. The position supports modernization of systems engineering and acquisition processes through Digital Engineering and Model-Based Systems Engineering (MBSE). Work may include supporting MBSE processes, digital thread frameworks, model portfolios and repositories, model integration and interoperability, modeling languages, reusable model libraries, model quality and review practices, and DE-based acquisition data item descriptions. The engineer will help teams and leaders implement MBSE methods, support federated modeling across the enterprise and mission partners, and help ensure that models, data, and information are structured and accessible to support organizational goals. The position is intended for an early-career engineer who will apprentice to experienced MBSE practitioners, follow the team's modeling methodology guidelines, support engineering and MS&A processes required by the SOW, and communicate modeling concepts and best practices to stakeholders at varying levels. The work environment is on site, travel is minimal, and working hours are standard.

Requirements

  • Current, active TS/SCI clearance with Polygraph.
  • Bachelor’s degree in a 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 or 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 with digital engineering processes and methods for enterprise-wide adoption, based on industry best practices and trends.
  • Support development of MBSE processes, digital thread frameworks, model portfolios, model integration and interoperability standards, meta-models, profiles, ontology, model repositories, modeling languages, and reusable model libraries.
  • Support model quality and review processes and updates to acquisition methods, including DE-based data item descriptions.
  • Apprentice to experienced systems engineering and MBSE practitioners and support modernization of systems engineering and acquisition processes.
  • Deliver foundational digital engineering approaches under supervision to help ensure engineering and MS&A processes are met.
  • Assist technical teams and leadership with implementation of 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 covered in the SOW requirements are followed.
  • Support the federated modeling approach across the enterprise and mission partners.
  • Adhere to the team's MBSE modeling methodology guidelines and principles.
  • Communicate modeling concepts and best practices to stakeholders at varying levels.
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