Data Infrastructure Engineer
Pivot Robotics 路 San Francisco
Extracted from the posting
Data infrastructure engineer owning schemas and data models for production systems and building AWS data infrastructure. Builds an artifact store for scans, meshes, and model checkpoints, plus edge-to-cloud pipelines from robotic cells. Also builds ML training pipelines, dataset versioning, and model deployment.
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