4D Millimeter perception engineer
At a glance
Mid-level AI Research role at Cat (CaterpillarCareers). Wuxi · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build 4D radar point-cloud algorithms that detect and track objects and estimate motion using Doppler speed
- Calibrate radar mounting and vehicle coordinates, then support vehicle integration and road testing
- Combine radar data with lidar and camera inputs to improve perception in dust, rain and fog
- Develop processing to suppress radar noise, multipath and clutter, and separate stationary from moving objects
- Deploy radar perception on vehicle platforms, improve runtime, and work with suppliers on field issues
What you bring
- A relevant bachelor's degree or higher, plus at least three years developing millimeter-wave radar perception or sensor-fusion algorithms
- Strong C++ and Python skills, with familiarity in Linux and ROS or ROS2
- Working knowledge of FMCW radar, point-cloud tracking, Doppler-based speed estimation, and radar-to-camera or lidar calibration
- Hands-on experience implementing sensor fusion and integrating, testing, and troubleshooting systems on vehicles
Who this fits
This role suits an engineer with practical 4D radar and sensor-fusion experience who can take perception algorithms through vehicle testing and deployment. The position is based in Wuxi, China.
From the employer
Career Area:
Technology, Digital and DataJob Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
4D 毫米波雷达感知工程师
岗位职责
负责 4D 毫米波雷达点云感知算法开发，融合多普勒速度信息实现目标检测、跟踪与运动估计。
负责 4D 毫米波雷达标定（安装姿态及外参标定、与车体坐标对齐），支持整车集成与实车测试。
负责 4D 毫米波雷达与激光雷达、相机的数据融合，提升扬尘、雨雾等恶劣环境下的感知性能。
负责雷达点云噪声、多径、杂波抑制及静态/动态目标分离等信号与点云处理算法开发。
支持雷达选型评估、数据采集及实车问题分析，与供应商协同推进性能优化。
负责雷达感知模块在车端平台的部署、实时性优化与持续迭代。
任职要求-基本要求
计算机、电子、通信、自动化、车辆工程等相关专业本科及以上学历。
3 年以上毫米波雷达感知或多传感器融合算法开发经验。
熟练掌握 C++ 和 Python，熟悉 Linux 及 ROS/ROS2。
毫米波雷达感知方向
熟悉 FMCW 雷达原理，理解距离、速度、角度测量及 4D 雷达点云特性。
熟悉雷达点云聚类、多目标跟踪（KF/EKF/IMM 及数据关联）及基于多普勒的自车速度估计方法。
了解基于深度学习的 4D 雷达点云检测方法，如 RPFA-Net、RadarPillars 等。
能够设计雷达感知评测方法，分析多径、杂波、遮挡等导致的误检漏检原因。
多传感器融合与标定方向
熟悉雷达-激光雷达、雷达-相机外参标定方法及时间同步机制。
熟悉前融合（数据级）、特征级融合及后融合（目标级）方案，具备实际落地经验。
具备实车集成、测试与问题定位经验。
加分项
矿山、港口、园区等封闭场景自动驾驶经验。
恶劣天气（扬尘、雨雾）条件下雷达感知或融合鲁棒性优化经验。
4D 毫米波雷达原始数据（ADC 数据 / Radar Cube）处理经验。
4D 雷达-相机 BEV 融合感知（如 RCFusion）研究或应用经验。
Posting Dates:
October 27, 2026 - November 19, 2026Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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