Full-stack Engineer

• Design and maintain standardized dataset APIs, including for multimodal data that cannot fit in memory
• Build proactive testing and scale validation pipelines for dataset loading at GPU scale
• Integrate datasets into training and inference pipelines, collaborating with multimodal researchers and infra teams
• Document and maintain dataset interfaces for discoverability and consistent adoption
• Establish safeguards and validation systems to ensure reproducibility of standardized datasets
• Debug and resolve performance bottlenecks in distributed dataset loading (e.g., stragglers)
• Provide visualization and inspection tools to surface errors, bugs, or bottlenecks
• Work on LLM training and inference infrastructure to support massive-scale GPU/accelerator fleets

Software Engineer, Data Infrastructure – Research

Junior Software Engineer, AI

Software Developer, Systems Software

Software Developer, Applications

Senior Software Engineer

Senior Software Engineer