nLogic
Audio Visual Specialist
Fort Lee, VA · Contract
No sponsorshipDetected 8 days ago
Cybersecurity
About the role
- n Logic is hiring for an Audio Visual Specialist to classroom and event-based audiovisual operations for Army training environments at Fort Lee, VA.
- This position is contingent upon contract award.
- This is a fully on-site role at Fort Lee, VA.
Responsibilities
- Provide daily operational and sustainment support for classroom audiovisual equipment
- Support AV setup and execution for training sessions, classroom operations, briefings, meetings, and special events
- Maintain and track audiovisual equipment inventory
- Support cabling, CAT6 environments, signal flow diagrams, classroom AV configurations, and related AV infrastructure
- Support VTT, VIAMS, classroom technology, and visual information support activities where applicable
- Strong attention to detail and responsiveness in support environments
- Ability to support end users, instructors, government stakeholders, and special event requirements in real time
- This role ensures reliable operation, troubleshooting, sustainment, and inventory support for AV systems.
Requirements
- An active, in-scope Secret Security Clearance is required for this position
- Two (2)+ years relevant experience in audiovisual operations and maintenance
- Experience supporting AV equipment, troubleshooting, setup, sustainment, and inventory
- Experience with cabling, CAT6 environments, signal flow concepts, classroom AV systems, or related audiovisual infrastructure
- Familiarity with Army or DoD training environments, classroom technology, VTT, VIAMS, or similar visual information systems
- Candidate must be a U.S. Citizen.
- Current SECRET security clearance is required for consideration.
Company info
- Ensure AV systems are functional, properly configured, and ready for instructional and mission use
Visa & Work Authorization
- An active, in-scope Secret Security Clearance is required for this position
This listing is sourced directly from nLogic's careers page and normalized into a canonical job model.