行车融合建图算法工程师（J79116）
Core
Design and develop multi-source mapping fusion frameworks for vehicle-side autonomous driving systems, focusing on road structure modeling and sensor fusion.
Role type
Senior IC autonomous driving perception engineer (mapping & fusion)
Builds
Vehicle-side multi-sensor fusion frameworks and road structure maps
Domain
Autonomous driving / Robotics / Computer Vision
Deliverable
production ML models
Required skills
SLAM algorithms, multi-view geometry, computer vision, multi-sensor fusion principles, Kalman filtering, graph optimization, nonlinear optimization modeling, C/C++, Python, Linux, ROS
Preferred skills
N/A
Technologies
ROS, Linux, C/C++, Python
Responsibilities
Design and develop vehicle-side multi-source mapping fusion frameworks; Research and optimize algorithms for road structure modeling and temporal stability/topology recognition; Fuse static elements from multi-source perception to ensure accuracy, stability, and consistency; Collaborate with upstream and downstream modules for debugging and issue resolution.
Seniority
Mid-Senior, hands-on IC
