Description
The role is responsible for building and operating a full-chain data closed-loop system for autonomous-driving algorithm operations, including processing hundreds of millions of raw sensor and labeled data records daily. It also develops cloud-based data-processing pipelines, optimizes throughput and latency, supports toolchain deployment and incident resolution, and builds a dual-driven data-mining production line using rules and large models to improve corner-case recall. The position requires a bachelor's degree or above in a relevant discipline, at least two years of autonomous-driving data-systems experience, proficiency in Python and C++, familiarity with Linux, sensor data formats, ROS2, DDS, and strong problem-solving skills.
