Geek+ is a global technology company specializing in smart logistics. We apply advanced robotics and artificial intelligence technologies to create solutions for warehouse and factory operations.
With the rise of e-commerce and the demand for faster and more flexible movement of goods, warehouse and manufacturing operators are facing increasingly complex production and logistic challenges today. Speed, product diversification, same-day delivery, volume, safety… these concerns are impacting a wide range of industries, from apparel, retail, automotive, to even electronics, energy and pharmaceutical industries.
Geek+ was founded to be the solution to these problems. We make logistics affordable, efficient, flexible, safe and agile.Ourvisionis toestablishafullyautomatedand intelligentsupplychainglobally.
Embodied Intelligence Algorithm Engineer
Responsibility：
- Be responsible for the research and development of skills such as grasping and operating of mechanical hands/suction cups based on embodied intelligent algorithms.
- Design, train and deploy algorithms such as imitation learning, reinforcement learning and multimodal learning to ensure the stable operation of embodied operation algorithms in real business environments.
- Participate in data collection, simulation construction, real machine debugging and other work of embodied intelligent application scenarios.
- Frontier tracking and new technology transformation.
Required capabilities, and skills
- 2026 graduating students, majoring in computer science, artificial intelligence, robotics, automation or related fields, with a master's degree or above.
- Proficient in programming languages and environments such as C++, Python, and ROS, with strong engineering implementation capabilities.
- Master the basic model algorithms for robot grasping operations and skill learning.
- Have project experience in at least one direction such as multimodal models, reinforcement learning, or imitation learning.
- Good team spirit, strong ambition and thirst for knowledge, and good at learning and applying new technologies.
Preferred qualifications, capabilities, and skills
- Have experience in robotic arm and dexteric hand algorithms and be familiar with algorithms such as DexGraspNet and Open VLA.
- Familiar with mainstream simulation environments or frameworks such as Isaac Gym/Sim, Gazebo, and MuJoCo;
- Published papers as the first author in conferences such as CoRL, ICRA, IROS or ICML, NeurIPS, etc.
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!