The roleEvery hour our operators work produces hours of synchronized video, robot state, and actions, and that data is a core product. You'll own the path from robot site to a searchable, trustworthy dataset that our researchers train on and our customers buy. You'll also run the infrastructure that keeps a growing, geographically spread fleet updated, monitored, and healthy.
What you'll do- Own data storage and lifecycle: ingest from sites, object storage layout, retention, tiering, and cost.
- Build the catalog: episode metadata, task labels, operator and robot info, quality flags, and search, so anyone can find "all successful pick-and-place episodes on arm model X last month."
- Build automated quality checks: dropped frames, sync drift, missing streams, failed or truncated episodes.
- Build dataset export and delivery: convert raw episodes into the formats training teams and customers expect, with versioning and provenance.
- Handle data governance: access control, customer and site data agreements, privacy (faces, sensitive scenes on site), and audit trails for data we sell.
- Run fleet infrastructure: provisioning edge machines at sites, remote software deploys and rollbacks, secrets, VPN/connectivity, monitoring, and alerting.
- Keep cloud costs and bandwidth under control as data volume grows.
- Build dashboards to monitor data collection status and progress
What we're looking for- 3-4 years as a data, platform, or infrastructure engineer owning production systems end to end.
- Experience with large unstructured data (video, sensor logs, images) in object storage, not only tabular warehouses.
- Strong Python and SQL; comfortable with infrastructure-as-code, containers, and CI/CD.
- You've built pipelines with real failure handling: retries, idempotency, backfills, and monitoring.
Nice to have- Experience with robotics or autonomous-vehicle data, or ML training data pipelines.
- Edge fleet management: deploying to many remote Linux devices on unreliable networks.
- Experience packaging and delivering datasets to external customers.
- Familiarity with data privacy rules across multiple countries.
If you don't check every box above but believe you can do the job, we encourage you to apply - we're looking for capability and trajectory, not a perfect checklist match.
