Full Time Job

Principle Technical Animator / Rigger

Rocksteady Studios

London, United Kingdom 11-19-2021
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  • Paid
  • Full Time
Job Description
At Rocksteady Studios, the technical animation team sits at a crossroad to provide quality and support across content and animation teams. From maintaining and improving pipelines, tools and establishing standards and workflows to problem solving and debugging and providing easy and fun to use animation rigs and great deformation – there is always a variety of need from our team to make sure the teams are running as smoothly as possible.

Here at Rocksteady Studios we are looking for a Principle Technical Animator/Rigger who is passionate about supporting great teams in creating awesome games.

The ideal candidate will be highly motivated in learning and/or developing techniques and pipelines to improve animation, asset and rigging workflows.

Key Responsibilities
• Work with other teams to create and design models, rigs and systems that works with and supports project needs and solve technical problems.
• Enhance visual quality of our assets and deformations while keeping project performance and time constraints in mind.
• Develop and integrate workflows and tools that push the quality, efficiency and adaptability of animation and art pipelines.
• Support the team and collaborate with leads to create and maintain documentation for technical animation.
• Support and mentor more junior members of the department.

Skill Requirements
• Complex rigging/technical animation experience in Games or VFX/Feature Film.
• Strong working knowledge in Python in Maya and coding standards and practices.
• Keen eye for anatomy and form for deformation quality.

Bonus Points
• Experience with gameplay technical animation – such as state machines, cloth, physics and ragdoll setups.
• Experience in developing facial rigs.
• Experience working with Jira/Shotgun and their APIs.
• Programming knowledge such as C++/Maya API & Plugin Writing
• Experience in 3Ds Max and PyMax.
• Interest and experience with machine learning.
• Interest and knowledge in maths!

Jobcode: Reference SBJ-rjv3bw-34-207-247-69-42 in your application.