Principal GenAI Data Infrastructure Engineer, 3D Foundation Model

As a Principal GenAI Data Infrastructure Engineer on the Data Infrastructure team for Roblox Cube, you will be responsible for building the foundational data systems that enable the creation and training of our cutting-edge 3D and 4D generative AI models. You will design, implement, and scale robust, high-performance infrastructure to crawl, curate, store, and serve the massive datasets required for these models. We are seeking accomplished software engineers with a passion for data, experience building large distributed systems, and a commitment to writing high-quality, well-tested code to solve complex data challenges at scale.

You Will:

• Design, build, and own critical components of the data infrastructure supporting our generative AI efforts, focusing on reliability, scalability, and performance.
• Develop sophisticated systems for crawling and extracting diverse data from the Roblox platform, including complex 3D asset data and 4D functional data.
• Implement robust pipelines and tooling for cleaning, transforming, and curating petabyte-scale datasets to meet the specific needs of multimodal AI model training and evaluation.
• Design and optimize data storage solutions that provide efficient, high-throughput access patterns for distributed model training workloads.
• Collaborate closely with ML Engineers and Data Scientists to understand their data requirements, build tooling that streamlines their data workflows, and troubleshoot data-related system issues.
• Drive improvements in data infrastructure architecture, engineering best practices, and operational excellence.
• Ensure data quality and governance are implemented at the system level through automated checks and monitoring.

You have:

• Have minimum 8+ years of professional experience and a tool chest of system design experience upon which to draw to build scalable, reliable platforms for all of Roblox.
• Have significant experience working with and processing very large datasets (Petabytes or more).
• Are passionate about the potential of generative AI, particularly in creative domains like 3D/4D content.
• Thrive in building complex, high-scale distributed systems from the ground up.
• Excel at writing clean, efficient, well-tested code in languages like Python, C++, or Go.
• Have experience with cloud data platforms and distributed processing technologies (e.g., Spark, Ray, Kubeflow, S3, etc.).
• Value collaboration and enjoy working closely with cross-functional teams, especially researchers and ML engineers.
• Are comfortable operating in a dynamic, fast-paced research environment where challenges and requirements can evolve.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Data Science, or a similar technical field.