Systems Engineer (Engineer Systems 3) - 27917

HII's Mission Technologies division•Suffolk, VA

11d

About The Position

Mission Technologies, a division of Huntington Ingalls Industries, is seeking a Systems Engineer to support the Joint Training Synthetic Environment (JTSE) and JLVC Modernization initiative under the Joint Staff J7 (JS J 7) contract. This role is responsible for leading systems engineering efforts that enable modernization, interoperability, and AI integration across joint training and simulation environments.

Requirements

5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience.
Ability to obtain and maintain a Secret Clearance within 45 days of hire.
Experience with systems engineering processes, including requirements management, architecture development, system integration, and testing.
Familiarity with distributed systems, data architectures, and interoperability challenges.
Understanding of AI/ML concepts and how they integrate into operational systems.
Experience creating system documentation such as requirements, architecture diagrams, and interface specifications.
Ability to collaborate across multidisciplinary teams and manage competing priorities.
Strong analytical, organizational, and problem solving skills.
Experience working in Linux based environments.

Nice To Haves

Experience integrating or deploying AI/ML models, including large scale or foundation models.
Familiarity with modern AI frameworks.
Experience integrating AI/ML capabilities into enterprise or simulation environments.
Experience with Joint Training and Simulation systems such as JTSE, JLVC, LVC, or similar DoD environments.
Experience with real time data integration or streaming architectures.
Knowledge of DoD architecture frameworks and model based systems engineering (MBSE) tools.
Experience supporting joint, multi domain, coalition, or large scale training exercises.
Understanding of data governance, data standards, and enterprise data strategy.
Experience with constructive or synthetic training environments.
Familiarity with DevSecOps pipelines and secure deployments in classified environments.
Relevant certifications such as Security+, CISSP, AWS Cloud, or Kubernetes.

Responsibilities

Lead systems engineering activities across the full lifecycle, including requirements development, architecture design, integration, testing, and sustainment.
Define and manage system requirements to support integration of foundational and frontier AI models into JTSE and Joint Training Tools.
Develop and maintain system architectures that support real time and near real time data integration from operational and test & evaluation sources.
Ensure interoperability across combatant commands, services, and training systems within a unified multi domain environment.
Coordinate integration of AI enabled capabilities into simulation systems, including the Fully Informed Simulation Environment (FISE).
Develop and maintain interface control documents (ICDs), data standards, and integration frameworks.
Support advanced exercise planning, execution, and after action review (AAR) by ensuring systems enable accurate data collection, synchronization, and analysis.
Collaborate with government, industry, and mission partners to align system designs with modernization objectives and operational requirements.
Conduct system level testing, verification, and validation (V&V) to ensure performance, reliability, and mission effectiveness.
Identify and mitigate technical risks related to system integration, scalability, and performance.
Support DevSecOps implementation to ensure secure, continuous delivery of system capabilities.
Document system designs, architectures, requirements, and integration processes.