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
Skills Required
- 2+ years building application-side data infrastructure on AWS
- Strong schema design and data modeling experience, including distributed systems tradeoffs
- Machine learning infrastructure experience
- Ability to work across the stack, from analyzing data to designing systems around it
- Willingness to travel to customer sites
- Data infrastructure experience in robotics, autonomy, or industrial IoT
- Edge computing experience
- Interest in manufacturing
What We Do
Pivot Robotics builds AI-powered robotic systems that automate grinding and finishing processes in manufacturing, using AI vision control software to enable industrial robots to adapt.
