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振华重工-智能驾驶资深研发工程师/Senior R&D Engineer for Intelligent Driving(J36967)

中国交建📍上海市上海振华重工(集团)股份有限公司海外招聘博士研究生及以上
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岗位职责

岗位职责: 1.负责港口水平运输车辆的智能驾驶相关算法,感知、定位、融合、决策、规划、控制等技术研发工作; 2.负责港口水平运输车辆的智能驾驶相关算法及技术落地的方案实施。 Job Responsibilities: 1. Responsible for the research and development of intelligent driving algorithms, perception, positioning, fusion, decision-making, planning, and control technologies for transportation vehicles in automated terminals; 2. Responsible for the implementation of intelligent driving algorithms and technology implementation plans for transportation vehicles in automated terminals.

任职要求

任职条件: 1.计算机、车辆工程、电子信息工程等相关专业博士学位,10年以上智能驾驶系统开发及相关行业经验; 2.具有前沿的技术洞察力和前瞻视野,有2个以上智能驾驶量产开发经验; 3.熟悉图像处理、机器学习、信号处理的基础知识,有较丰富的人工智能学习算法或项目开发相关经验; 4.熟悉摄像头、毫米波雷达、激光雷达、高精地图及定位系统等产品特性; 5.熟悉智驾域控制器方案选型、硬件设计、软件设计、结构设计等方面的知识; 6.熟悉多感知融合算法,贝叶斯估计理论,滤波算法原理等方面的知识; 7.熟悉车辆的智能驾驶决策、轨迹规划和运动控制等方面的知识; 8.具有良好的组织、策划、权衡、规划、沟通谈判、协调及团队协作等能力。 Job Qualifications: 1. Major in computer, vehicle engineering, electronic information engineering, etc., and have more than 10 years of experience in intelligent driving system development and related industries; 2. Having cutting-edge technological insights and forward-looking perspectives, with at least 2 years of experience in mass production and development of intelligent driving; 3. Familiar with basic knowledge of image processing, machine learning, and signal processing, with rich experience in artificial intelligence learning algorithms or project development; 4. Familiar with product features such as cameras, millimeter wave radar, LiDAR, high-precision maps, and positioning systems; 5. Familiar with knowledge of intelligent driving domain controller scheme selection, hardware design, software design, structural design, etc; 6. Familiar with multi perception fusion algorithms, Bayesian estimation theory, filtering algorithm principles, and other related knowledge; 7. Familiar with knowledge of intelligent driving decisions, trajectory planning, and motion control of vehicles; 8. Have good organizational, planning, weighing, planning, communication and negotiation, coordination, and team collaboration skills.
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