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About Eventual Robots and world models learn about the physical world from video: millions of hours of people cooking, building, carrying and fixing things. That footage is piling up faster than anyone can review it,…
Builds core infrastructure for Eventual's multimodal AI data platform used by robotics/Physical AI teams — spanning real-time video streaming (WebRTC, GPU-accelerated codecs), LiDAR/sensor telemetry pipelines, or React/TypeScript data-curation frontends. Engineers work Rust, C++, Python, or Go on-site 4 days/week in San Francisco.
Builds the distributed storage, query engine, and GPU dataloading behind Eventual's petabyte-scale multimodal data platform (Daft) for Physical AI/robotics teams — video/lidar data lakes on Parquet/Iceberg, vector/VLM-powered search, and line-rate CUDA data pipelines. Core stack is Rust or C++; on-site 4 days/week in San Francisco.
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