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

Requirements

Must-haves

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
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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awsml

Platform: ashby
Effort: quick