自动驾驶数据闭环高级后端工程师（J94282）
Core
Build end-to-end AI infrastructure systems for autonomous driving data loops, including data mining frameworks, annotation pipelines, distributed training, model evaluation, inference, and deployment.
Role type
Senior IC backend engineer (AI infrastructure)
Builds
AI infrastructure systems for autonomous driving data loops
Domain
Autonomous driving + Distributed systems
Deliverable
production ML models
Required skills
Python, C++/Go, distributed computing, high-concurrency system design, caching, message queues, relational databases, NoSQL, operating systems, network protocols, cluster design, SRE, service mesh, microservices governance, monitoring, distributed storage (Elasticsearch, MongoDB, HDFS), OLAP systems
Preferred skills
automotive technology background, machine learning/deep learning background, robotics background
Responsibilities
Design and build data mining frameworks, annotation pipelines, and distributed training systems; optimize system stability and efficiency for data flywheels; design high-throughput infrastructure storage systems; optimize engineering architecture for the era of large models
Seniority
Senior, hands-on IC
