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!