泊车感知算法工程师_XC
Core
Develop and deploy perception algorithms for automatic parking (APA/RPA/AVP), focusing on Freespace and Occupancy (OCC) representation for garage scenarios.
Role type
Senior IC autonomous driving perception engineer (parking)
Builds
Dense spatial occupancy maps, drivable area detection, and empty space detection for parking garages
Domain
Autonomous driving, computer vision, sensor fusion
Deliverable
production ML models
Required skills
Computer vision, deep learning, BEV architecture, Transformer, voxel/grid representation, multi-sensor fusion, PyTorch, C++, Python, OpenCV, PCL, model quantization, onboard deployment
Preferred skills
Freespace/OCC algorithm experience, dense occupancy network projects, parking scenario (indoor/garage) perception experience, real-vehicle log analysis
Technologies
PyTorch, C++, Python, OpenCV, PCL, ONNX, TensorRT
Responsibilities
Develop occupancy networks and drivable area detection based on images and point clouds; Fuse multi-sensor data (camera, ultrasonic, radar) to solve challenges like low light and occlusion; Build datasets and evaluation systems for parking scenarios; Debug real-vehicle perception issues and optimize model accuracy and latency; Collaborate with planning and control teams on interface alignment and metrics.
Seniority
Senior, hands-on IC
