東莞
應屆畢業生
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職位描述
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Job description:職位職責描述
1.Responsible for researching, developing, and implementing SLAM algorithm solutions for mapping, localization, re-localization, and other aspects in different scenarios for the cleaning machine, as well as iterating and optimizing these solutions.
負責研究開發并落實掃地機在不同場景下的建圖、定位、重定位等方面的SLAM算法方案及其迭代優化。
2.Responsible for researching, developing, and implementing laser SLAM and visual SLAM fusion algorithms, as well as multi-sensor fusion algorithms.
負責研究開發并落實激光SLAM和視覺SLAM融合算法、多傳感器融合算法等。
3.Responsible for developing the UI frontend software based on the QT or Android platform and developing the business logic modules based on ROS.
負責開發基于QT或安卓平臺的UI前端軟件，開發基于ROS的業務邏輯模塊。
4.Develop and optimize robot navigation module, including path planning, motion control, full coverage, edge following, and obstacle avoidance.
開發和優化機器人導航塊，包括路徑規劃、運動控制、全覆蓋、貼邊和障礙物避障
5.Responsible for the development, optimization, and product iteration of related algorithms on embedded platforms.
負責相關算法在嵌入式平臺的開發、優化以及產品迭代
6.Provide intelligent solutions for traditional cleaning equipment.
在傳統清潔設備的開發過程中，提供智能化解決方案。
Qualifications:
1.Bachelor’s degree or above in Computer Science, Software Engineering or similar. Master’s degree will be preferred.
全日制本科及以上學歷，計算機科學，軟件工程等相關專業，碩士優先。
2.Familiar with SLAM-related open-source frameworks (such as Cartographer, ORB_SLAM, and LVI-SAM), with experience in 2D/3D laser point cloud feature extraction, description, and matching, and with practical project implementation experience.
熟悉SLAM相關開源框架(如Cartographer、ORB_SLAM、LVI-SAM)，有2D/3D激光點云特征提取、描述及匹配等相關經驗，有實際項目落地經驗。
3.Familiar with processing and fusion of sensor data from various sensors such as LiDAR, depth cameras, and ultrasonic sensors, and has practical project implementation experience.
熟悉激光雷達、深度相機、超聲波傳感器等多種傳感器數據處理和融合，并有實際項目落地經驗。
4.Familiar with Global and local path planner algorithm (A*, Dijkstra, RRT, DWA, TEB etc). experience for a project with full coverage and edge cleaning algorithms.
熟悉局部路徑規劃算法(如A*、 Diikstra、RRT、DW，TEB等)，有全覆蓋及延邊算法項目經驗。
5.Proficient in C programming language, familiar with Linux operating system and common commands, familiar with ROS1, ROS2, Micro ROS Agent and Isaac ROS software architecture.
熟練掌握C 編程語言，熟悉Linux操作系統及常用指令，熟悉ROS1, ROS2，Micro ROS Agent, Isaac ROS等架構。
6.Proficient in using the tools of Docker, QT, Gazebo and Rviz etc.
熟練使用Docker容器、QT、 Gazebo 和RVIZ等軟件。
7.Possess a good awareness of code standards, familiar with Git version control and agile development processes.
具備良好的代碼規范意識，熟悉Git/Bitbucket版本管理及敏捷開發流程。
8.Good at English.
英語良好。
9.Good communication and teamwork skills.
良好溝通及團隊合作能力
1.Responsible for researching, developing, and implementing SLAM algorithm solutions for mapping, localization, re-localization, and other aspects in different scenarios for the cleaning machine, as well as iterating and optimizing these solutions.
負責研究開發并落實掃地機在不同場景下的建圖、定位、重定位等方面的SLAM算法方案及其迭代優化。
2.Responsible for researching, developing, and implementing laser SLAM and visual SLAM fusion algorithms, as well as multi-sensor fusion algorithms.
負責研究開發并落實激光SLAM和視覺SLAM融合算法、多傳感器融合算法等。
3.Responsible for developing the UI frontend software based on the QT or Android platform and developing the business logic modules based on ROS.
負責開發基于QT或安卓平臺的UI前端軟件，開發基于ROS的業務邏輯模塊。
4.Develop and optimize robot navigation module, including path planning, motion control, full coverage, edge following, and obstacle avoidance.
開發和優化機器人導航塊，包括路徑規劃、運動控制、全覆蓋、貼邊和障礙物避障
5.Responsible for the development, optimization, and product iteration of related algorithms on embedded platforms.
負責相關算法在嵌入式平臺的開發、優化以及產品迭代
6.Provide intelligent solutions for traditional cleaning equipment.
在傳統清潔設備的開發過程中，提供智能化解決方案。
Qualifications:
1.Bachelor’s degree or above in Computer Science, Software Engineering or similar. Master’s degree will be preferred.
全日制本科及以上學歷，計算機科學，軟件工程等相關專業，碩士優先。
2.Familiar with SLAM-related open-source frameworks (such as Cartographer, ORB_SLAM, and LVI-SAM), with experience in 2D/3D laser point cloud feature extraction, description, and matching, and with practical project implementation experience.
熟悉SLAM相關開源框架(如Cartographer、ORB_SLAM、LVI-SAM)，有2D/3D激光點云特征提取、描述及匹配等相關經驗，有實際項目落地經驗。
3.Familiar with processing and fusion of sensor data from various sensors such as LiDAR, depth cameras, and ultrasonic sensors, and has practical project implementation experience.
熟悉激光雷達、深度相機、超聲波傳感器等多種傳感器數據處理和融合，并有實際項目落地經驗。
4.Familiar with Global and local path planner algorithm (A*, Dijkstra, RRT, DWA, TEB etc). experience for a project with full coverage and edge cleaning algorithms.
熟悉局部路徑規劃算法(如A*、 Diikstra、RRT、DW，TEB等)，有全覆蓋及延邊算法項目經驗。
5.Proficient in C programming language, familiar with Linux operating system and common commands, familiar with ROS1, ROS2, Micro ROS Agent and Isaac ROS software architecture.
熟練掌握C 編程語言，熟悉Linux操作系統及常用指令，熟悉ROS1, ROS2，Micro ROS Agent, Isaac ROS等架構。
6.Proficient in using the tools of Docker, QT, Gazebo and Rviz etc.
熟練使用Docker容器、QT、 Gazebo 和RVIZ等軟件。
7.Possess a good awareness of code standards, familiar with Git version control and agile development processes.
具備良好的代碼規范意識，熟悉Git/Bitbucket版本管理及敏捷開發流程。
8.Good at English.
英語良好。
9.Good communication and teamwork skills.
良好溝通及團隊合作能力
注：聯系我時，請說是在河北人才網上看到的。
工作地點
地址：東莞石大路寮步段458號
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