Data Infrastructure Engineer
Pivot Robotics3 months ago
San Francisco, CA, USAMid Level
Responsibilities
- Design and own schemas and data models for production systems.
- Build and maintain application-side data infrastructure on AWS.
- Build an artifact store for scans, meshes, model checkpoints, and calibration files.
- Build edge-to-cloud pipelines between robotic cells and company infrastructure.
- Build ML infrastructure including training pipelines, dataset versioning, and model deployment.
- Travel to customer sites as needed.
Requirements
- At least 2 years of experience building data infrastructure on AWS, excluding platform operations.
- Strong schema design and data modeling skills, including distributed-systems tradeoffs.
- Experience with ML infrastructure.
- Ability to work across the stack from analyzing data to designing supporting systems.
- Preferred experience in robotics, autonomy, industrial IoT, edge computing, or manufacturing.
Tech Stack
Categories
Data EngineeringML Engineering
About Pivot Robotics
Pivot Robotics builds robotic systems and computer-vision software that automate visual quality assurance and surface finishing for manufacturers. The company sells and deploys production-floor solutions and supporting data infrastructure used in robotics, autonomy, and industrial IoT environments. Founded in 2023 and headquartered in San Francisco, it is privately held and serves factory operations for inspection and finishing steps.