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