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Salary: USD 227,370 - 295,250 / annual
Roblox is seeking a Senior Software Engineer with deep expertise in 3D computer graphics and engine development to join the ML Data Pod within the Foundation AI team. You will build foundational infrastructure powering next-generation AI capabilities, specifically focused on solving the synthetic data generation bottleneck for 3D generative AI models.
As the AI landscape shifts toward spatial and 3D generation, high-quality training data has become critical. In this role, you will unlock the Roblox engine as a massive, scalable platform for synthetic data generation. You'll bridge cutting-edge AI research with low-level engine architecture, shaping how complex 3D data (meshes, materials, lighting, scene graphs) is represented and structured to effectively train state-of-the-art 3DGen models. The synthetic pipelines you architect will directly fuel frontier AI models that define the future of immersive 3D content creation for millions of creators.
Key responsibilities include:
- Spearheading synthetic data generation initiatives to leverage the Roblox engine for procedurally generating massive, high-fidelity 3D datasets required for training frontier 3DGen models
- Partnering closely with AI research scientists to translate complex model training requirements into actionable engine features, while collaborating with core engine teams to implement them safely and efficiently
- Designing, building, and optimizing scalable graphics and engine-level systems capable of generating diverse spatial, geometric, and visual data at scale
- Driving technical direction for embedding synthetic data generation workflows into existing engine architecture without compromising core performance
Requirements:
- 5+ years of experience building and shipping complex, production-grade software systems
- Deep expertise in 3D computer graphics, rendering pipelines, and game engine architecture
- Strong proficiency in systems programming (e.g., C++) with proven track record of writing highly optimized, scalable code
- Experience extracting, modifying, or manipulating programmatic data from within complex engine environments
- Strong communication skills with demonstrated ability to bridge machine learning researchers and low-level systems engineers
- Bonus: Familiarity with machine learning data pipelines, automated synthetic data generation, or 3D generative AI architectures
- Preferred: Background in geometry, linear algebra, or related mathematical domains; experience with graphics APIs or frameworks
Office presence: Tuesday, Wednesday, Thursday onsite; Monday and Friday optional.
