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

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

Data infrastructure in a robotics, autonomy, or industrial IoT setting

Edge computing experience

Interest in manufacturing