具身仿真与数据工程师（J103480）
Core
Design, develop, and maintain an embodied intelligence simulation data platform to support robot training, evaluation, and data production.
Role type
Senior IC embodied AI simulation data engineer
Builds
Integrated simulation platform for robot training, evaluation, and multi-modal data generation
Domain
Robotics + Embodied AI + Simulation
Deliverable
production ML models
Required skills
Python, Linux development, simulation platform expertise (Isaac Sim, Isaac Lab, Omniverse, Unity, Unreal, Gazebo), data pipeline engineering, distributed task scheduling, system design for high scalability and concurrency
Preferred skills
Experience with VLA and embodied large models, data quality assessment methodologies
Technologies
Isaac Sim, Isaac Lab, Omniverse, Python, Linux
Responsibilities
Build large-scale synthetic data pipelines for visual, language, and action data; standardize and automate generation of robot scenes, assets, tasks, and environments; develop data generation, annotation, cleaning, and versioning capabilities; construct task scheduling and resource management platforms for parallel data production; optimize data coverage, diversity, and authenticity for algorithm teams; establish evaluation systems to correlate data quality with model performance
