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Data Infrastructure Engineer

Pivot Robotics

San Francisco, CAFull-timePosted 1mo agoStill listed 5 days ago

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

The Data Infrastructure Engineer will design and own schemas and data models for production systems, build and maintain AWS-based data infrastructure, create artifact stores for scans and model files, develop edge-to-cloud pipelines for robotic cells, and construct ML infrastructure including training pipelines, dataset versioning, and model deployment.

Skills & qualifications

RequiredNice to have

Skills

AWSData ModelingSchema DesignML InfrastructureTraining PipelinesDataset VersioningModel DeploymentEdge ComputingRoboticsAutonomyIndustrial IoT

Qualifications

2+ Years Building Data Infrastructure on AWSWillingness to Travel

Full job 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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