System architecture and technical planning
Responsible for autonomous driving system architecture design, technology roadmap selection, sensor solution (Camera/Radar/LiDAR), computing platform and software architecture planning.
Algorithm development and optimization
LeadPerception / Fusion / Localization / High-precision map / Prediction / Planning / ControlDesign, development, verification, and performance improvement of any module algorithm.
System integration and vehicle tuning
Responsible for autonomous driving software and hardware integration, ECU/Domain Controller integration, vehicle interface calibration, actuator coordination, and ensuring system stability and safety.
Test verification and mass production delivery
Build a scene library, testing system, simulation testing, closed site / open road testing; responsible for problem localization, debugging, acceptance and mass production release.
Data and toolchain construction
Responsible for data collection, cleaning, annotation, and closed-loop training; building simulation platforms, data platforms, toolchains, and automated testing systems.
Functional safety and information security
Follow ISO 26262, ASPICE, etc. process standards to ensure system safety, fault monitoring, redundancy design, and automotive compliance.
Technical pre-research and competitive product analysis
Proficient in C/C++/Python, familiar with Linux, ROS, ROS2, CyberRT, etc. development environment
Deeply master at least one of the following fields:
・Perception (Camera/Radar/LiDAR detection, segmentation, tracking, fusion)
・Positioning and mapping (GNSS/IMU/LiDAR/Visual positioning)
・Prediction, decision, planning, control
・High-resolution maps, scene libraries, and simulation platforms
Familiar with vehicle dynamics, CAN/CAN FD, vehicle Ethernet, and vehicle interfaces
Familiar with ISO 26262, ASPICE, functional safety concepts are particularly good