Principal Software Engineer, 3D Foundation Model Data

As a Principal Software 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.