Data Infrastructure Engineer
Builds production data systems, AWS infrastructure, artifact storage, edge-to-cloud pipelines, and ML infrastructure for robotics applications. Requires 2+ years of AWS data infrastructure experience, strong schema and data modeling skills, and experience with ML systems.
About the job
Responsibilities
- Design and own schemas and data models for production systems.
- Build and maintain data infrastructure on AWS.
- Build an artifact store for scans, meshes, model checkpoints, and calibration files.
- Build edge-to-cloud pipelines between robotic cells and infrastructure.
- Build ML infrastructure, including training pipelines, dataset versioning, and model deployment.
Requirements
- 2+ years building data infrastructure on AWS, focused on application-side development rather than platform operations.
- Strong schema design and data modeling skills, including distributed-systems tradeoffs.
- ML infrastructure experience.
- Ability to work across the stack, from analyzing data to designing surrounding systems.
- Willingness to travel to customer sites.
Preferred Qualifications
- Data infrastructure experience in robotics, autonomy, or industrial IoT.
- Edge computing experience.
- Interest in manufacturing.
Skills
AWS, Data Infrastructure, Schema Design, Data Modeling, Distributed Systems, ML Infrastructure, Training Pipelines, Dataset Versioning, Model Deployment, Edge Computing, Robotics, Industrial Iot
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