SLAM Engineer

Geek+ is a global technology company specializing in smart logistics. We apply advanced robotics and artificial intelligencetechnologiestocreatesolutionsforwarehouseandfactoryoperations.

With the rise of e-commerce and the demand for faster and more flexible movement of goods, warehouse andmanufacturing operators are facing increasingly complex production and logistic challenges today. Speed, productdiversification, same-day delivery, volume, safety… these concerns are impacting a wide range of industries, from apparel,retail,automotive,toeven electronics,energyand pharmaceuticalindustries.

Geek+ was founded to be the solution to these problems. We make logistics affordable, efficient, flexible, safe and agile.Ourvisionis toestablishafullyautomatedand intelligentsupplychainglobally.

SLAM Engineer

Responsibility

• Design and optimization of SLAM algorithms in complex and highly dynamic environments.
• Work directions include but are not limited to: development of point cloud matching algorithms, feature extraction and matching, multi-sensor fusion positioning, etc

Required capabilities, and skills

• 2026 graduating students, with a master's degree or above in computer science, robotics, vehicle engineering, automation or related fields.
• Solid foundation in mathematics, familiar with probability theory, linear algebra, optimization theory, Lie groups and Lie algebras, etc.
• Solid foundation in computer science, familiar with C/C++ or Python, and have development experience on the Linux platform.
• Familiar with classic VIO/LIO/VSLAM/SFM algorithms, proficient in at least one mainstream visual or laser SLAM system, familiar with open-source libraries such as ceres and g2o, relevant project experience is preferred.
• Possess strong independent problem-solving skills, learning ability and communication skills.

 

Preferred qualifications, capabilities, and skills：

• Candidates with experience in the development of core algorithms related to high-precision map construction and positioning in the industrial sector, as well as those with internship experience, are preferred.
• Strong research capabilities are preferred, as well as those who have published outstanding papers in the field of robotics.
• Those who have achieved outstanding results in ACM or internationally renowned competitions will be given priority.

Please send your CV to

Ms. Yumeng Ying, +49 15206270866

Email: ivy.ying@geekplus.com

Formoreinformation ofourcompany please visitourwebsite:www.geekplus.com

 

We are looking forward to your application!