Senior Perception Engineer
Core
Develop perception algorithms for L4 autonomous mining trucks, focusing on LiDAR and millimeter-wave radar sensor fusion to enable obstacle detection and safe navigation in mining environments.
Role type
Senior IC perception algorithm engineer (autonomous mining)
Builds
High-reliability perception systems for L4 autonomous mining trucks
Domain
Autonomous mining / Heavy equipment automation
Deliverable
production ML models
Required skills
C++, Python, Linux, ROS/ROS2, Point Cloud Processing, LiDAR Rule-based Detection, Deep Learning (PointPillars, CenterPoint, PV-RCNN, VoxelNet, BEVFusion), Millimeter-wave Radar Algorithms, Multi-sensor Fusion, System Optimization, CUDA, TensorRT
Preferred skills
4D Millimeter-wave Radar experience, Closed-loop scenario (mine/port) autonomous driving, Functional Safety (SOTIF), Mass production project experience
Technologies
LiDAR, 4D Millimeter-wave Radar, Camera, PointPillars, CenterPoint, PV-RCNN, VoxelNet, BEVFusion, ROS, ROS2, CUDA, TensorRT
Responsibilities
Develop LiDAR and millimeter-wave radar perception algorithms for obstacle detection and tracking; Implement rule-based detection for ground segmentation, clustering, and object extraction; Design and optimize deep learning models for mining targets (slopes, rocks, vehicles, personnel); Develop post-fusion strategies combining rule-based and AI model outputs; Engineer multi-sensor fusion systems integrating LiDAR, 4D radar, and camera; Optimize algorithms for end-to-end deployment and build data loops to improve performance.
Seniority
Senior, hands-on IC