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Open nowPosted 219 days ago

机器人感知算法工程师

tarsrobot/index110 open roles

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Shanghai, Chinese Mainland
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  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 219 days ago

The posting

1. 负责机器人感知算法开发工作,例如实现3D目标检测与跟踪、Occupancy栅格构建等核心算法的高效落地; 2. 负责机器人场景理解算法的工程实现,包括基于多目RGBD相机和V-SLAM的目标检测、语义分割、多模态感知融合等模块的开发与优化; 3. 参与搭建感知数据闭环工程体系,推进自动化数据标注、感知量化评测、感知节点看护、复杂场景数据挖掘等流程的落地与迭代; 4. 负责双目、环视、深度相机等多类型传感器的接入与工程化适配,完成传感器内外参标定、数据预处理滤波、运动畸变补、等底层开发工作。

1. 学历与经验:自动化、电子工程、计算机科学或相关专业硕士及以上学历,3年以上智能驾驶/机器人感知算法实战落地经验; 2. 核心开发能力:精通Linux系统开发环境,具备扎实的C/C++工程开发能力,能够独立完成算法模块的高效编码、性能优化与工程化封装; 3. 专业领域经验:在传感器融合、3D感知、目标跟踪预测、机器人视觉伺服等方向,至少有一个方向的工程实践经验,能够将算法方案转化为可部署的工程代码; 4. AI算法基础:熟悉PyTorch/TensorFlow等主流深度学习框架,搭建过基于CNN/Transformer的感知检测分割模型或VLM模型,具备算法选型与落地优化能力者优先; 5. 技术栈要求:熟练掌握以下至少一项工程化技术:激光雷达信号处理、视觉图像处理、传感器信息融合算法、SLAM算法、导航融合、传感器标定与校准、模型量化与小型化等; 6. 软素质要求:具备较强的问题分析与调试能力,良好的跨团队沟通协作能力,能够高效推进算法落地与工程迭代。

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