Data Infrastructure Engineer

About the job

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

Read the job posting on the Pivot Robotics site