Build core multimodal backend systems for robotics and Physical AI, including real-time WebRTC video pipelines, hardware-accelerated codecs, petabyte-scale ingestion and storage, LiDAR and telemetry processing, sensor synchronization, and high-performance React and TypeScript interfaces. Engineers may work across infrastructure, spatial data, video, frontend, and AI-native product workflows while independently solving complex technical challenges.

Build distributed data systems for petabytes of video, lidar, and telemetry data. Responsibilities include developing multimodal data lake storage, query engines with indexing and vector search, and high-throughput dataloading pipelines delivering data to GPUs. The role involves optimizing distributed storage and compute, query planning, streaming computation, zero-copy data flow, and real-time indexing for robotics and Physical AI applications.

As a Research Engineer, you'll enhance visual understanding capabilities by training and deploying models to make video datasets queryable, driving down costs, and collaborating on data taxonomy design.