Senior CG Supervisor

Plenoptic Cognition Inc.; United States; Teletrabalho; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

Plenoptic Cognition Inc. seeks a Senior CG Supervisor to own supervision of photo-real digital doubles and character animation produced through 4DV performance-capture pipelines.

You will lead 4–6 artists/TDs, collaborate with the Head of Pipeline, Head of ML, Principal Engineer, and CEO to deliver end-to-end workflows, uphold KPIs, and communicate with executives and partner studios.

Qualificações

• 8+ years as a CG Supervisor on photo-real productions (feature/TV/AAA).
• US citizen for handling regulated production assets.
• Expert in Maya, Houdini, Unreal Engine; strong scripting.

Responsabilidades

• Lead a crew of 4–6 artists/TDs; conduct daily stand-ups and set milestones.
• Design and refine end-to-end workflow from capture to rendering; ensure quality KPIs.

Conhecimentos

Maya

Houdini

Unreal Engine

Python/MEL scripting

4D performance-capture data

Photoreal shading

Leadership

US Citizenship

Formação académica

BFA in Visual Effects/Computer Graphics

Ferramentas

Maya

Houdini

Unreal Engine

Python

MEL scripting

Descrição da oferta de emprego

Plenoptic Cognition is building VectorField, a cooperative platform that captures every production action as immutable data and turns it into feature-film-level photo-real content production.

The Senior CG Supervisor will own the supervision of photo-real digital doubles and character animation generated through our 4-dimensional (4DV) performance-capture pipelines. You will work side-by-side with Plenoptic Cognition's Head of Pipeline, Head of ML, Principal Engineer, and the CEO.

Responsibilities

• Support 4DV Digital Double Pipeline Development: Partner with the Head of Pipeline to design, implement, and refine the end-to-end workflow (capture → cleanup → rigging → skinning → animation → rendering)
• Supervise Art & Technical Teams: Lead a crew of 4–6 artists/TDs (modelers, riggers, animators, lighting artists). Conduct daily stand-ups, set clear production milestones
• Tool Development & Integration: Work with the Head of Pipeline to define requirements and validate Maya/Houdini/Unreal plugins that automatically emit immutable work-segment metadata
• Quality Assurance: Establish measurable visual-quality KPIs (poly-count caps, texture resolution, shader complexity, render budget ≤ $0.02/frame)
• Performance & Cost Optimisation: Profile GPU/CPU utilisation on our AWS-based render farm, tune shaders and lighting setups
• Documentation & Standards: Produce and maintain living SOPs, naming conventions, and pipeline diagrams
• Cross-Team Collaboration: Coordinate with the Head of ML to ensure CG assets are compatible with downstream machine-learning pipelines
• Stakeholder Communication: Deliver concise status updates and technical demos to executives, investors, and early-partner studios

Required Qualifications

• Experience: 8+ years as a CG Supervisor on photo-real, high-end productions (feature film, TV, or AAA game)
• Citizenship: Must be a U.S. citizen (required for handling regulated production assets)
• Technical Skills: Expert in Maya, Houdini, and Unreal Engine. Strong Python/MEL scripting
• Hands-on experience with 4-dimensional performance-capture data (volumetric, multi-modal)
• Deep understanding of photoreal shading, physically-based rendering, high-resolution texture pipelines
• Advanced rigging/skin-weight techniques for digital doubles
• Leadership: Demonstrated ability to lead multidisciplinary art/TD teams
• Familiarity with operational-security best practices (data encryption, strict access controls)
• Education: BFA/BFA-equivalent in Visual Effects, Computer Graphics, or related field

Preferred

• Experience with cloud-native render farms (AWS Thinkbox, Deadline, or similar)
• Experience integrating CG pipelines into machine-learning workflows

Join us to shape the future of photo-real digital content production and help build the next generation of AI-powered creative tools.

Learn more about the VectorField Platform