- Job type
- Full-time
- Work mode
- On-site
- Level
- Not listed
- Department
- Engineering
- Experience
- 2+ years experience
- Posted
- Aug 25, 2026
About the role
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
