Virtual Production Engineer

Virtual Production Engineer

Synapse Virtual Production at Tyler Perry Studios

Full Time Staff

$100,000 - $110,000

The Systems Engineer owns the health, reliability, maintenance, and ongoing evolution of the technical infrastructure that powers our Atlanta virtual production studio. Located on the historic Tyler Perry Studios campus, the stage is part of a strategic, multi-year collaboration between Synapse Virtual Production and Tyler Perry Studios, bringing world-class technology and production expertise together to support filmmakers, studios, brands, and creators.

This role is responsible for the engineering backbone of the stage—ensuring the systems, networks, hardware, and infrastructure that power our virtual production environment operate reliably, efficiently, and at peak performance. Reporting to the Executive Producer, the Systems Engineer partners closely with the Technical Stage Manager, VP Supervisor, and VP Operator to maintain a stable, high-performing technical foundation while continuously improving the stage's capabilities.

Key responsibilities include:

• Owning the health and reliability of LED, render, sync, networking, and control systems
• Leading preventative maintenance and building routines that reduce avoidable failures
• Troubleshooting infrastructure-level issues across networking, synchronization, routing, and connectivity
• Supporting the engineering side of the LED volume ecosystem and contributing to upgrades and performance optimization
• Building and maintaining clear engineering documentation, diagrams, and configuration records
• Partnering across stage, VP workflow, and runtime execution lanes to route and resolve technical issues appropriately

The ideal candidate brings strong experience in systems engineering, broadcast engineering, or stage systems support, deep knowledge of networking, sync, and control systems in a production environment, and strong troubleshooting and documentation discipline. Experience with LED volume support, render and control environments, and virtual production ecosystems is strongly preferred.