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The Brahma AI R&D team explores, tests, and deploys machine-learning and automation solutions that enhance artist tooling and DNEG’s software infrastructure across a global, multi-site environment. With multiple film projects running in parallel, we solve complex problems at scale to help thousands of artists deliver tens of thousands of shots and assets.
As a Software Developer, you will deliver high-quality tools, services, and web front-end UIs that enable award-winning VFX and feature animation work.
You should apply if:
- You enjoy building, packaging, and configuring complex software systems.
- You are fluent across modern software development and ML tooling and like collaborating with engineers, researchers, and artists.
- You care about efficiency, reliability, and clean engineering.
Software Development
- Deploy ML solutions and integrate AI tooling within the VFX pipeline with minimal burden on artists and production.
- Design and build web front-end UIs (dashboards, curation tools, job control, review) that make ML/automation workflows intuitive and accessible.
- Collaborate with global stakeholders and architects to implement cost-effective data and MLOps pipelines; document methodologies.
- Build, package, and configure complex software systems across Linux.
- Improve efficiency, stability, and observability through profiling, metrics, and tracing.
- Validate work with methodical testing (unit/integration/e2e).
- Write clear technical documentation and workflow guides for artists and developers.
- Manage escalated troubleshooting and debugging for ML-driven tools and services.
- Work collaboratively under tight deadlines; mentor developers, assign tasks where appropriate, and report to the Head of ADG.
- Enforce standards via CI: formatting (e.g., black/clang-format), linting (ruff/eslint, clang-tidy), typing (Python type hints, TypeScript), and test coverage gates.
- Require code reviews for all merges; maintain modular, testable designs with clear separation of concerns and DCC-agnostic cores where applicable.
- Documented APIs (OpenAPI/Protobuf), versioned schemas, and backward-compatible changes.
- Secure-by-default practices (authn/z, secrets management), performance budgets, and telemetry by design.
- Languages: Python 3.x (tooling and ML integration), C++17 (performance-critical components), TypeScript/JavaScript (web UIs).
- Web front-end: React (or Vue), modern build tooling, REST/GraphQL clients.
- Services: FastAPI/Flask, gRPC/HTTP; containerized on Linux.
- Build/packaging: CMake; setuptools/pip/poetry; RPM/deb where appropriate.
- VCS/CI: Git; GitHub/GitLab CI or Jenkins.
Must have:
- Strong programming and shell-scripting skills (Python; Bash).
- Experience building and troubleshooting non-trivial packages (C++11-17, CMake, autotools, setuptools/pip/poetry, RPM).
- Linux expertise and command-line proficiency.
- Solid grasp of systems architecture and software engineering fundamentals.
- Ability to articulate complex technology to non-experts and collaborate openly.
- Confidence in navigating ambiguity and providing pragmatic solutions.
- Proactive mindset and comfort with multiple priorities.
Nice to have:
- Significant experience with a major package/ports system.
- Experience monitoring, collecting, and analysing diagnostics to drive resilience.
- Practical experience with Git and issue tracking systems (Jira).
- Familiarity with ops/CI/CD tooling (Elastic Stack, Graphite/Grafana/StatsD, Sensu, Jenkins/GitHub Actions).
- Understanding of sysadmin responsibilities (networking, filesystems, environment management).
- Relevant qualifications (CS/CE degree; RHCSA/RHCE, etc.).
- Demonstrable open-source contributions.
Key Skills
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