Data Infrastructure Engineer
Pivot Robotics
Data Infrastructure Engineer
Pivot Robotics
AI-powered robot-arm automation for high-mix manufacturing
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
AI-powered robot-arm automation for high-mix manufacturing
Pivot Robotics provides AI-powered software for industrial robotic arms to automate labor-intensive tasks in high-mix manufacturing. Its Proteus system uses vision-first AI to scan parts, detect defects, and automatically generate grinding paths for off-the-shelf robots, adapting to many part variations without reprogramming. This approach replaces the need for custom programming per part, enabling a single system to handle multiple part types for high-mix, low-volume production and hazardous tasks like metal surface grinding. The company aims to ease the U.S. manufacturing labor shortage by expanding automation across industries and regions, starting in North America and expanding to places like India, with support from YC and seed funding.
Explore more opportunities at Pivot Robotics