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Pivotrobotics

Data Infrastructure Engineer

San Francisco · On-site · FullTime · Engineering

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About the role

AWSMachine LearningDistributed SystemsRobotics
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