Magnopus Opportunities

We are seeking a highly skilled and technically minded Visualization Artist to bridge the gap between cinematography, VFX pipelines, and real-time technology. In this role, you will be responsible for setting up complex cinematic camera rigs, configuring lens profiles, and using Unreal Engine as a core visualization tool for filmmakers. Your primary directives will be the technical orchestration of virtual cameras, shot blocking, real-time lighting integration, and ensuring seamless asset data flow across our VFX and live-action pipelines.

Ideal candidate is able to take shots from initial layout and blocking all the way through final pixel.

Configure, calibrate, and manage virtual camera rigs within Unreal Engine to match real-world physical cameras, sensors, and lens packages (anamorphic, spherical, etc.).

Set up and maintain virtual cranes, dollies, and handheld rigs, ensuring naturalistic camera movement and precise technical layout.

Collaborate directly with the Director of Photography (DP) and VFX Supervisors to translate physical camera settings (ISO, shutter angle, aperture, focal length) into digital environments.

Use Unreal Engine to build high-fidelity previsualization (Previs), techvisualization (Techvis), and postvisualization (Postvis) sequences.

Create layout and camera block outs based on existing camera footage and integrate camera shot tracking data to recreate virtual sets based on existing film footage.

Facilitate live "virtual scouting" sessions, allowing creative heads to explore virtual environments and block camera paths dynamically.Ensure smooth pipeline integration of camera tracking data, FBX/USD camera data layouts, and timecode syncing.

Develop and maintain robust workflows for exporting digital camera data into traditional downstream VFX packages (e.g., Maya, Nuke, Houdini).

Optimize real-time scenes to ensure low-latency performance during virtual camera tracking and live-action playback.

Expert Proficiency in Unreal Engine: Deep knowledge of Sequencer, Cine Camera Actors, Camera Rig Rail/Crane components, and the virtual camera (VCam) system, with demonstrated on-set virtual production (VProd) experience.

Cinematic Literacy: Strong understanding of real-world photography, cinematography principles, framing, shot composition, and camera movement, including practical implementation of advanced camera projection techniques.

Pipeline Experience: Proven track record working within an established film production or high-end VFX pipeline. Experience with USD (Universal Scene Description), camera tracking protocols, and leveraging generative AI tools (e.g., ComfyUI, open-source models, Veo, Gemini) to optimize production workflows is highly desirable.

Excellent communication skills with the ability to translate technical real-time jargon into practical filmmaking terminology for DPs and Directors.

A keen eye for cinematic pacing, scale, and photographic realism.

Scripting: Familiarity with Python or Blueprinting for automating camera data importing/exporting tools.

Proven experience with Virtual Production in Unreal Engine, with a focus on on-set workflow support.

Proficiency in leveraging Generative AI tools (e.g., ComfyUI, open-source models, Veo, Gemini) to optimize production pipelines.

Practical production experience implementing advanced camera projection techniques.