Fleet Support Engineer (LVC)

SAICSan Diego, CA
Onsite

About The Position

SAIC is seeking a highly experienced and dynamic Fleet Engagement and Integration Lead to support the delivery of advanced information warfare capabilities to our Naval, Joint, and Coalition warfighters. In this role, you’ll contribute to Naval Operational Architecture (NOA), working alongside engineers and operators to deliver resilient, forward-leaning solutions in support of national defense. This role contributes to operational training and exercise support to ensure shipboard and command staffs are trained and ready to employ emerging capabilities in support of Project objectives. The candidate will leverage engineering knowledge to support Live, Virtual, and Constructive (LVC) operations across Fleet Experimentation (FLEX), Fleet Reps and Sets, Joint Forces, and lab and operational demonstrations. The role supports cross-functional teams to integrate emerging technologies at U.S. Navy Maritime Operations Centers (MOCs), aboard naval vessels, and across other naval commands, while enhancing coordination across NAVWAR program offices, Fleet elements, and Joint Forces. The candidate will also coordinate with existing Model Based Systems Engineering (MBSE) teams to enable holistic naval models that inform future network architecture design with Naval and Joint Forces.

Requirements

  • Highly experienced and dynamic Fleet Engagement and Integration Lead
  • Support the delivery of advanced information warfare capabilities to Naval, Joint, and Coalition warfighters
  • Contribute to Naval Operational Architecture (NOA)
  • Work alongside engineers and operators to deliver resilient, forward-leaning solutions
  • Contribute to operational training and exercise support
  • Ensure shipboard and command staffs are trained and ready to employ emerging capabilities
  • Leverage engineering knowledge to support Live, Virtual, and Constructive (LVC) operations
  • Support Fleet Experimentation (FLEX), Fleet Reps and Sets, Joint Forces, and lab and operational demonstrations
  • Support cross-functional teams to integrate emerging technologies at U.S. Navy Maritime Operations Centers (MOCs), aboard naval vessels, and across other naval commands
  • Enhance coordination across NAVWAR program offices, Fleet elements, and Joint Forces
  • Coordinate with existing Model Based Systems Engineering (MBSE) teams
  • Enable holistic naval models that inform future network architecture design with Naval and Joint Forces

Responsibilities

  • Plan, coordinate, and execute operational training and exercise support efforts to ensure shipboard and command staffs are trained, proficient, and ready to employ fielded and emerging capabilities in support of Project objectives.
  • Support Live, Virtual, and Constructive (LVC) operations across Fleet Experimentation (FLEX), Fleet Reps and Sets, Joint Forces, and lab/operational demonstrations, ensuring events are properly scoped, resourced, and aligned to operational outcomes.
  • Lead day-to-day integration support for emerging technologies at U.S. Navy Maritime Operations Centers (MOCs), aboard naval vessels, and across other naval commands by coordinating activities between engineers, scientists, IT specialists, operators, and program stakeholders.
  • Coordinate and synchronize cross-functional efforts across NAVWAR program offices, Fleet elements, and Joint Forces to enable the adoption of new warfighting capabilities, manage dependencies, and resolve blockers impacting execution.
  • Collaborate with Joint, National, and international coalition stakeholders to ensure operational training and exercise efforts are sufficient, coordinated, and responsive to mission needs, including pre-event planning, event execution support, and post-event follow-ups.
  • Coordinate with existing Model Based Systems Engineering (MBSE) teams to enable the development of holistic naval models that inform future network architecture design and integration planning across Naval and Joint Forces.
  • Capture, document, and communicate event objectives, execution details, lessons learned, and recommended improvements to inform future training, demonstrations, and capability fielding activities.
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