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