Software Developer – Nuke

Job description

Software Developer – Nuke DNEG’s Nuke development team augments Foundry Nuke with 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 Nuke’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 Nuke 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 Degree in Computer Science/Engineering or equivalent experience Strong Python and/or C++ skills Nuke API and/or NDK experience Linux development experience Team-based development and source control experience Nice to Have Experience developing machine learning models Experience developing AI-based solutions Experience working in an Agile team environment Experience with unit/integration testing VFX/FX and Nuke workflow knowledge Experience with PySide/Qt, Pybind11/Boost.Python Experience with I/O (JSON, XML, USD, Alembic) Familiarity with build systems Experience with other DCC tools (e.g.: Houdini, Maya, Unreal) 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.