*We are seeking 2025 graduates to join our team in Beijing, China.
Geekplus is a global leader in mobile robotics technologies, providing innovative solutions for order fulfillment. With over 1,000 industry leaders using our systems, we deliver flexible, reliable, and efficient automation for warehouses and supply chains. Founded in 2015, Geekplus has more than 1,500 employees and offices worldwide, including in the US, Germany, the UK, Japan, South Korea, Mainland China, Hong Kong SAR, and Singapore.
Responsibilities:
- Design and optimize SLAM algorithms for complex, high-dynamic environments. Areas of focus include, but are not limited to, point cloud matching algorithm development, feature extraction and matching, and multi-sensor fusion localization.
Requirements:
- Recent graduate of 2025 with a master’s degree or higher in Computer Science, Robotics, Vehicle Engineering, Automation, or related fields
- Experience in developing core algorithms for high-precision mapping and localization in industrial settings; internship experience is a plus
- Strong mathematical foundation, familiar with probability theory, linear algebra, optimization theory, and Lie groups/ lie algebra
- Solid computer science background, proficient in C/C++ or Python, with experience in Linux platform development
- Familiar with classic VIO/LIO/VSLAM/SFM algorithms; expertise in at least one mainstream visual or laser SLAM system. Experience with open-source libraries such as Ceres and g2o is preferred
- Strong problem-solving skills, learning ability, and communication skills
If your qualifications, experience, and aspirations match our requirements, please send your resume, along with your current and expected salary, to us. All information and materials submitted will remain strictly confidential and will be treated for recruitment purposes only. Only shortlisted candidates will be notified.
