Head of Data Engineering
Core
Lead the data engineering stack for physical AI robotics, managing pipelines for multimodal data collection, quality control, and model development to enable scaled physical world services.
Role type
Head of Data Engineering (Physical AI Robotics)
Builds
End-to-end data pipelines, multimodal collection systems, quality assurance models, and hardware-integrated data solutions for robotics.
Domain
Robotics, Physical AI, Data Engineering
Deliverable
production ML models
Required skills
Data pipeline architecture, team scaling (human and automated), quality metrics development, hardware integration, multimodal data handling, 3D pose reconstruction, SLAM, throughput optimization.
Preferred skills
Vision of future robotics data modalities, understanding of wild data distributions, novel model development for annotation and QA.
Responsibilities
Structure efficient data collection pipelines with diverse environments and manipulation tasks; design in-house vertically integrated hardware for data needs; manage and scale human and automated quality control and annotation pipelines; develop novel models for QA, annotation, 3D pose reconstruction, and SLAM; construct end-to-end pipelines optimizing for throughput, quality, and cost.
Seniority
Executive, hands-on IC with management scope
