Responsibilities • Design and own the schemas and data models behind our production systems • Build and maintain data infrastructure on AWS • Build the artifact store for scans, meshes, model checkpoints, and calibration files • Build edge-to-cloud pipelines between robotic cells and our infrastructure • Build ML infrastructure: training pipelines, dataset versioning, and model deployment Requirements • 2+ years building data infrastructure on AWS (application-side, not platform operations) • Strong schema design and data modeling, including distributed systems tradeoffs • ML infrastructure experience • Ability to work across the stack, from analyzing data to designing the systems around it • Willingness to travel to customer sites Preferred • Data infrastructure in a robotics, autonomy, or industrial IoT setting • Edge computing experience • Interest in manufacturing