Data Infrastructure Engineer
Pivot RoboticsVisit Pivot Robotics website
Pivot Robotics develops vision-guided robotic automation for industrial manufacturing, with production systems for adaptive part processing and inspection.
San Francisco, CA, United States
Funding history
Investors
About Pivot Robotics
The company combines 3D vision, AI, and adaptive control to automate variable manufacturing finishing and quality workflows, including grinding, cutting, sanding, machining, spraying, defect detection, and in-line gauging.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design schemas and data models for production systems. You will build AWS data infrastructure, artifact storage, edge-to-cloud pipelines, and machine learning infrastructure for training, dataset versioning, and model deployment.
Requirements
- 2+ years building application-side data infrastructure on AWS
- Strong schema design and data modeling skills, including distributed-systems tradeoffs
- Machine learning infrastructure experience
- Ability to work across the stack from data analysis to system design
- Willingness to travel to customer sites
Responsibilities
- Design and own schemas and data models for production systems
- Build and maintain data infrastructure on AWS
- Build artifact storage for scans, meshes, model checkpoints, and calibration files
- Build edge-to-cloud pipelines between robotic cells and infrastructure
- Build machine learning training pipelines, dataset versioning, and model deployment
