泊车建图定位算法工程师_XC
Core
Develop and deploy spatial positioning and local mapping algorithms for intelligent parking systems, ensuring precise vehicle localization in GPS-denied environments like underground garages.
Role type
Senior IC SLAM and localization algorithm engineer
Builds
Robust positioning and mapping solutions for automated parking features
Domain
Automotive, Autonomous Driving, SLAM
Deliverable
production ML models
Required skills
SLAM (graph optimization, state estimation), multi-sensor fusion (IMU, wheel odometry, visual cameras, LiDAR), C++ optimization, nonlinear optimization libraries (Ceres, g2o, GTSAM), embedded systems optimization
Preferred skills
Deep learning for feature extraction/matching, semantic segmentation, end-to-end localization, PyTorch, TensorRT deployment, full-cycle development of APA/AVP features
Technologies
Ceres, g2o, GTSAM, PyTorch, TensorRT, IMU, LiDAR, Visual Cameras
Responsibilities
Develop and optimize multi-sensor fusion estimation frameworks for GPS-denied environments; Optimize algorithms for resource-constrained automotive chips; Address long-tail scenarios in mass production; Evaluate and integrate cutting-edge SLAM and 3D reconstruction technologies
Seniority
Senior, hands-on IC
