1. Research and develop SLAM-related algorithms for multi-sensor integration
1. Deep understanding of robotics-related algorithms
2. Familiarity with image processing, computer vision geometry, numerical optimization skills
3. Solid foundation in C++ programming and related computer languages (preferred)
4. Familiarity with SLAM algorithms for robot localization and navigation (preferred)
5. Educational requirement: Master's degree, exceptional candidates may qualify with a Bachelor's
degree
6. Experience requirement: 1-3 years, recent graduates with relevant research focus are also
welcome
7. Location: Shanghai
Develop and deploy perception algorithms for robots to enable perception capabilities in structured and complex unstructured environments
1. Master's degree or above in Automation, Electronic Engineering, Computer Science, or related
fields
2. At least one area of experience in sensor fusion, probabilistic perception, target tracking,
computer vision
3. Preference for candidates with experience in pattern recognition, image processing, robotics
4. Experience with C/C++ development on Linux platforms
1. Develop decision planning and control algorithms for robots;
2. Improve the performance of decision planning and vehicle control algorithms;
1. Master's degree or above in Computer Science, Automation, Vehicle Engineering, or related
fields;
2. Strong computer fundamentals, familiar with C/C++ or Python, experience with Linux, ROS;
3. Preference for candidates familiar with classic decision planning algorithms (DP, QP, A*,
Lattice);
4. Preference for candidates familiar with classic vehicle control algorithms (PID, LQR, MPC);
Calibrate parameters for multi-sensors on robots
1. Master's degree or above in Computer Vision, Applied Mathematics, Theoretical Physics, or related
fields;
2. Familiarity with calibration algorithms for sensors (LiDAR, cameras, GPS/IMU, radar)
(preferred);
3. Familiarity with common camera models and experience with camera calibration and visual SLAM
(preferred);
4. Experience with OpenCV, ROS, Eigen, Ceres, g2o (preferred);
1. Develop multi-sensor perception fusion algorithms;
2. Develop ground estimation algorithms based on multi-sensors;
3. Develop obstacle/target detection algorithms based on multi-sensors;
1. Strong mathematical foundation, knowledge of probability theory, linear algebra, numerical
analysis;
2. Experience with SLAM, machine learning (preferred);
3. Proficient in C/C++ programming;
1. Lead the completion of the structural design for the entire vehicle according to product
requirements and participate in reviews;
2. Complete the design of the vehicle scheme, 3D modeling, and 2D drawings;
3. Participate in sample production and support corresponding test plans;
4. Write relevant technical documents;
1. Bachelor's degree or above, exceptional candidates may qualify with an Associate's degree;
2. Related majors in Mechanical Design Automation, Vehicle Engineering, etc.;
3. Solid foundation in mechanical design, familiarity with basic mechanical principles and
transmission structures;
4. Ability to assist with motor selection and calculations for electrical power;
5. Preference for candidates with experience in appearance design;
6. Experience in design work for robots, smart vehicles, or lawnmowers (preferred);
7. Proficiency with ANSYS or ABAQUS simulation software (preferred);
8. Minimum 5 years of experience;