About this role
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
Tired of cold applications?
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Ask your AI about this role
Connect Clera once, then ask if it fits you.
Ask about this role
Read the Data Infrastructure Engineer listing at Pivot Robotics (https://www.getclera.com/jobs/pivot-robotics-pivotrobotics/data-infrastructure-engineer-br0x71gju8hp) and tell me whether it fits my profile. Save it for me if it does.
Not connected yet? Takes a minute
https://mcp.getclera.comSign in with your Clera account. MCP docs
