Data Infrastructure Engineer

Pivot Robotics

  • San Francisco, California
  • 30+ days ago

    Highlights

    Strong schema design and data modeling, including distributed systems tradeoffs. Build ML infrastructure: training pipelines, dataset versioning, and model deployment.

    Numbers & Facts

    LocationSan Francisco, California

    Description

    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

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