辅助驾驶感知算法工程师(27届校招)_BCSC
Core
Design, validate, and optimize perception algorithms for advanced driver assistance systems (ADAS), focusing on object detection, tracking, lane recognition, and sensor fusion.
Role type
Junior IC perception algorithm engineer (ADAS)
Builds
Sensor fusion pipelines, perception models, and mapping/planning modules for autonomous driving systems
Domain
Automotive / Autonomous Driving
Deliverable
production ML models
Required skills
Python, C/C++, Deep Learning (CNN, Transformer), Traditional ADAS algorithms (Kalman Filter, JPDA, A*, DBSCAN, Bezier curves), 3D detection frameworks (MMDetection3D)
Preferred skills
PyTorch, TensorFlow, KITTI, nuScenes, Waymo datasets
Responsibilities
Develop and optimize sensor (LiDAR, radar, camera) and multi-sensor fusion algorithms; Participate in mapping and planning module development; Assist in building perception algorithm testing workflows including data preprocessing and model evaluation
Seniority
Junior, new graduate
