自动驾驶AI基础平台-后端工程师（J84318）
Core
Build and optimize cloud-native data feedback and simulation platforms for autonomous driving, enabling data collection, processing, model iteration, and high-concurrency simulation testing.
Role type
Senior IC backend engineer (autonomous driving cloud platform & simulation)
Builds
Data feedback pipelines, automated data loops, cloud-native simulation toolchains, and visualization systems for autonomous driving perception/planning/control modules.
Domain
Autonomous driving, Cloud Infrastructure, Data Engineering, Simulation
Deliverable
production ML models | infrastructure
Required skills
AWS cloud services (S3, Lambda, Glue, Kinesis, Redshift), Kubernetes, Docker, Python, Spark/Flink, SQL/NoSQL, Kafka, CARLA, ROS, Gazebo, 3D visualization engines (Unreal/Unity/Three.js/WebGL)
Preferred skills
Large-scale data system architecture, ETL pipeline development, open-source toolchain research
Responsibilities
Design high-availability cloud architectures for data storage and compute; develop data quality monitoring systems; build cloud-native simulation toolchains integrating data management and scenario generation; collaborate with algorithm teams to ensure precise docking of simulation environments with perception/planning/control modules.
Seniority
Senior, hands-on IC
