Data Infrastructure Engineer
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At a glance
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
Skills
Qualifications
Full job description
Responsibilities
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Design and own the schemas and data models behind our production systems
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Build and maintain data infrastructure on AWS
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Build the artifact store for scans, meshes, model checkpoints, and calibration files
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Build edge-to-cloud pipelines between robotic cells and our infrastructure
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Build ML infrastructure: training pipelines, dataset versioning, and model deployment
Requirements
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2+ years building data infrastructure on AWS (application-side, not platform operations)
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Strong schema design and data modeling, including distributed systems tradeoffs
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ML infrastructure experience
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Ability to work across the stack, from analyzing data to designing the systems around it
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Willingness to travel to customer sites
Preferred
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Data infrastructure in a robotics, autonomy, or industrial IoT setting
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Edge computing experience
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Interest in manufacturing
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