R&D-038 Data Engineer
Core
Design and implement large-scale data pipelines for collecting, processing, curating, and publishing multimodal datasets to train Vision-Language-Action (VLA) models for humanoid robots.
Role type
Senior Data Engineer (Robotics Foundation Models)
Builds
Production-grade distributed data systems and data platforms for robotics research
Domain
Robotics, Embodied AI, Multimodal Data
Deliverable
production ML models
Required skills
Distributed data processing (Spark, Flink, Ray), Data pipeline orchestration (Airflow, Dagster), Large-scale unstructured data handling (video, images, point clouds), Data schema design, Data quality monitoring
Preferred skills
Robot data analysis, Sensor data handling (camera, depth, IMU), ML training pipeline optimization, Kubernetes, Lakehouse systems (Iceberg, Delta Lake), Vector search, Annotation platforms
Technologies
Spark, Flink, Ray, Airflow, Dagster, Parquet, WebDataset, MCAP, Kafka, Kubernetes, Apache Iceberg, Delta Lake, OpenSearch, FAISS, CVAT, Label Studio