About the role
DNEG’s Maya development team augments Autodesk Mayawith bespoke software
products to allow artists to create high-end VFX and digital environments, pushing
complexity, scalability, and artistic boundaries through procedural workflows.
In this role, you’ll build artist-facing and backend tools to streamline workflows, extend
Maya’s capabilities, and solve production challenges. You’ll primarily develop with HOM,
using HDK when needed, and integrate tools into CG pipelines while maintaining a seamless
Maya user experience.
Strong UX awareness, clear documentation, and a focus on usability and adoption are
essential. You’ll deliver clean, testable, and maintainable code aligned with Brahma AI
standards.
You’ll collaborate with artists, developers, and project managers, requiring excellent
communication skills to plan roadmaps and drive innovation across the full software lifecycle
(design, develop, test, deploy and support).
Must Have
● Degreein Computer Science/Engineering or equivalent experience
● Experiencedeveloping with mel, maya.cmds and the Maya API
● MayaPlugin Development
● StrongPython and/or C++ skills
● VFX/FXand Maya workflow knowledge
● Linuxdevelopment experience
● Team-baseddevelopment and source control experience
Nice to Have
● Experiencedeveloping machine learning models
● Experiencedeveloping AI-based solutions
● Experienceworking in an Agile team environment
● Experiencewith unit/integration testing
● Experiencewith PySide/Qt, Pybind11/Boost.Python
● Experiencewith I/O (JSON, XML, USD, Alembic)
● Familiaritywith build systems
● Experiencewith other DCC tools (e.g.: Houdini, Nuke, Unreal)
● Experienceleading teams
DNEG Dedicated Unit (DDU)
The DDU operates within BRAHMA AI and works closely with DNEG to develop technology
used directly in production.
The team builds tools, platforms and workflows that support VFX and Feature Animation
pipelines across DNEG’s global studios.
Much of the work focuses on artist-facing tools, large production pipelines, simulation and
rendering workflows, and systems that need to run reliably across distributed teams.