Data Infrastructure Engineer

Pivot RoboticsSan Francisco, CA

About The Position

We are seeking a Data Infrastructure Engineer to design and own the schemas and data models behind our production systems. This role involves building and maintaining data infrastructure on AWS, including an artifact store for scans, meshes, model checkpoints, and calibration files. You will also be responsible for building edge-to-cloud pipelines between robotic cells and our infrastructure, as well as ML infrastructure for 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

Nice To Haves

  • Data infrastructure in a robotics, autonomy, or industrial IoT setting
  • Edge computing experience
  • Interest in 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
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