Senior Software Engineer, 3D Systems & AI

Unity Technologies is the world’s leading game engine, and they are seeking a Senior Software Engineer to contribute to their visionOS support and 3D Systems. The role involves defining protocols and building systems that enable real-time 3D experiences to interact across different platforms and engines.

Responsibilities:

• Help define runtime protocols, formats, and execution models to encode, compress, and replay interactive 3D content between engines and AI models
• Own and evolve critical subsytems across the engine stack, from low-level C++ runtime code to high-level C# APIs across editor, build, simulation, streaming, and playback
• Build systems to capture, serialize, stream, and synchronize scene state, components, assets, user interactions, and rendering data under tight bandwidth, latency, determinism, and memory constraints
• Design interfaces and feedback loops that allow AI systems to inspect engine state, invoke engine capabilities, and validate outcomes

Requirements:

• Experience building or fundamentally extending game engine cores, middleware, or foundational systems (e.g. serialization, build pipelines, memory subsystems)
• Practical experience integrating AI/ML into production software, including areas such as model training, data collection, evaluation loops, agents, tool use, or model-context protocols
• Ability to design modular, testable systems - then implement, profile, debug, and ship them end-to-end
• Strong C++ and C# skills, with practical understanding of CPU caches, memory layout, allocation patterns, branch behavior, profiling, and performance tradeoffs in real-time systems
• Hands-on experience across multiple engine domains — such as physics, animation, input, rendering, assets, or build systems — and how they interact
• Experience building infrastructure for training data generation, synthetic data, simulation environments, evaluation harnesses, reinforcement learning, or agentic workflows
• Familiarity with 3D data formats and spatial content pipelines, such as USD, glTF, procedural generation, or semantic scene representations
• Experience with MCP-style tool interfaces, LLM agents, multimodal models, inference pipelines, embeddings, vector search, or AI systems that inspect and act on structured application state
• Knowledge of compression, streaming, replication, authority models, RPCs, state diffing, delta encoding, or network protocols for real-time interactive systems
• Experience with determinism, replay systems, simulation consistency, multithreading, job systems, lock-free programming, Unity DOTS, or other data-oriented runtime architectures