Data Infrastructure Engineer

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