FieldAI Benefits Overview

Develop and deploy perception systems for autonomous robots operating in unstructured, off-road environments. Responsibilities include localization, mapping, SLAM, multi-sensor fusion, sensor integration and calibration, field testing, debugging on physical robots, performance monitoring, and production deployment. The role collaborates with autonomy, controls, platform, research, and field operations teams to deliver robust perception capabilities across multiple robotic platforms and missions.

Build and operate scalable data-platform systems for multimodal robotics and machine-learning datasets. Responsibilities include ingestion, processing, validation, labeling, dataset generation, metadata, lineage, versioning, data quality, observability, and workflow reliability. Partner with ML, robotics, infrastructure, and labeling teams to create reusable platform capabilities supporting large-scale data processing, reprocessing, backfills, training, and evaluation.

Build and automate data-flywheel systems for autonomous robots, converting large-scale robot experiences into high-quality, versioned training datasets. Responsibilities include data processing, filtering, labeling, auto-labeling, offline inference, hard-example selection, validation, reproducible dataset generation, and incremental training-data pipelines. Partner with researchers and platform teams to productionize experimental workflows and improve the cycle from robot deployment to usable ML data.