Data Platform Engineer, Autonomy Analytics

Design and build the data platform, frameworks, and developer tooling that power ingestion across Field AI.

Handle the realities of field data: intermittent connectivity, large sensor payloads (LiDAR, camera, IMU), edge-to-cloud synchronization, and backfill from offline deployments.

Develop reusable ingestion SDKs, APIs, and services that enable teams to onboard new robotics data sources with minimal custom code.

Build and maintain integrations across heterogeneous sources: robot/edge systems, fleet management and deployment tooling, simulation outputs, and cloud object storage.

Integrate the platform with downstream consumers: BI tools, ML training and evaluation pipelines, labeling systems, and issue tracking.

Develop connectors and APIs (REST/gRPC, webhooks, CDC) so internal teams can feed data in and consume curated datasets reliably.

Own integration reliability end to end: schema contracts, versioning, retries, backfills, and monitoring.

Optimize pipeline performance, scalability, and cost across growing fleet deployments.