Navigation Engineer (SLAM) 机器人SLAM 工程师

  • 广东省 深圳市 南山区 塘兴路133号 54栋 308, Shenzhen, Guangdong, cn
  • 全职


Prime Robotics designs and builds robots for the logistics and manufacturing industries.  We are a dynamic, entrpreneurial company.  This inudstry is new and the key to our success is to move fast and be creative.  Our robots cut operating expenses for warehouses by 80%, which means we add enormous value for our customers.  We are designing our second generation robots now that will revolutionize the logistics industry.  We will have a huge impact on society and achieve great things that we can be proud of for the rest of our careers.


Play a key role in Prime's next generation logistics robots.  You will experiment wtih various approaches from LiDar to stereo vision to indoor GPS and others to determine the best balance of accuracy, development time and manufacturing costs.


  • Solve real-world problems in large-scale indoor and outdoor mapping (2D or 3D), localization, etc.
  • Implement robust, production quality C/C++ SLAM module  
  • Deploy the SLAM system into embedded environment and testing in real world.


  • Proven experience in computer vision.
  • M.S. or PhD in Engineering, Sciences, Mathematics or similar fields.
  • Strong mathematics skills.
  • Excellent C++ programming skills including debugging, performance analysis, and test design.
  • Familiarity with SLAM, 3D reconstruction, and calibration.


1、 开发机器人自主定位、激光建图、视觉建图算法,包括多传感器信息融合,机器人运动和观测模型建立等;

2、 研究并开发基于地图、激光雷达、视觉等多传感器融合的导航定位算法。

3、 算法的测试、移植及产品化;


5、 撰写相关技术文档


Required Skills:

  • PhD or MS with 3+ year industry experience with Computer Science, Robotics or other similar engineering degrees. 
  • Strong programming skills in C/C++, Python, or Golang.
  • Ability to solve new, challenging problems in the field of localization, mapping, and loop closure. 
  • Familiarity with modern software development tools for source code control, unit testing, automated build, test, and deployment
  • Strong spoken and written English skills


1、 硕士及以上学历,计算机视觉、自动控制、电子信息等相关专业;

2、 具有扎实董编程基础,精通C、C++,熟悉openCV,熟练使用matlab进行算法仿真验证,熟悉python编程者优先;



5、 熟悉linux开发环境;