Perception Lidar Algorithm Engineer

Caterpillar Inc.

. 负责激光雷达 3D 目标检测模型的开发与维护，覆盖矿卡、轻型车、工程设备、人员及路面障碍物等目标 .

Posted 10/27/2026full-timeWuxi • ChinaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining 3D object detection models for autonomous driving, with a strong foundation in computer vision and deep learning. Proficient in deploying perception models on vehicle platforms while optimizing for robustness in challenging environments.

Highest-signal resume keywords

C++ ProgrammingPython ProgrammingPoint Cloud Algorithm DevelopmentDeep Learning FrameworksModel Quantization and Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

3D Object DetectionPoint Cloud SegmentationOccupancy DetectionData AnalysisAlgorithm Optimization

Soft Skills

Problem SolvingAnalytical Thinking

Tools & Technologies

NVIDIA OrinTensorRTROS/ROS2PCLOpen3D

Industry Keywords

Autonomous DrivingLaser RadarComputer VisionDeep LearningMining Environment

Tech Stack

Tools & technologies

LinuxPythonPyTorchC++

About the role

Key responsibilities & impact

负责激光雷达 3D 目标检测模型的开发与维护，覆盖矿卡、轻型车、工程设备、人员及路面障碍物等目标
负责点云聚类、地面分割、语义分割及可行驶区域检测等算法开发，处理非结构化道路与不规则障碍物
负责多任务感知模型（检测、分割、Occupancy 等）的设计与部署，提升车端算力利用效率
针对扬尘、雨雾、颠簸、强光等矿山环境，优化模型鲁棒性，降低误检与漏检
支持大规模道路测试中的问题分析、数据回流与模型持续迭代优化
负责感知模型在车端平台（如 NVIDIA Orin）的量化、TensorRT 加速与部署，满足实时性要求

Requirements

What you’ll need

计算机、自动化、电子、机器人、车辆工程、数学等相关专业本科及以上学历
3 年以上自动驾驶感知或点云算法开发经验
熟练掌握 C++ 和 Python，熟悉 Linux 及 ROS/ROS2
熟悉 PyTorch 等深度学习框架，具备扎实的计算机视觉与深度学习基础
熟悉 PointPillars、SECOND、CenterPoint、PV-RCNN 等主流 3D 检测模型，具备实际落地经验
熟悉点云语义分割、实例分割及 Occupancy 等方法，了解 RangeNet++、Cylinder3D 等模型
熟悉地面分割、欧式聚类、DBSCAN、体素滤波等传统点云处理方法
具备模型量化、剪枝、TensorRT/CUDA 加速及车端部署经验
熟悉 PCL、Open3D、OpenPCDet、MMDetection3D 等点云与感知工具库
具备大规模测试数据分析与问题定位能力
矿山、港口、园区等封闭场景自动驾驶经验
激光雷达与相机、毫米波雷达多传感器融合感知经验
恶劣天气点云去噪或感知鲁棒性优化经验
自动标注、主动学习或数据引擎建设经验
BEV 感知、Occupancy 网络或端到端感知方向研究与应用经验

Benefits

Comp & perks

Equal Opportunity Employer
Talent Community invitation