Assistant Software Engineer

Job description:

1. Responsible for researching developing and implementing SLAM algorithm solutions for mapping localization re-localization and other aspects in different scenarios for the cleaning machine as well as iterating and optimizing these solutions.

2. Responsible for researching developing and implementing visual SLAM algorithms visual cloud points algorithms.

3. Collaborate with mechanical and electronic teams to complete system integration and testing verification.

4. Optimize robot navigation module including path planning motion control full coverage edge cleaning and obstacle avoidance.

Qualifications:

1. Bachelors degree or above in Computer Science Software Engineering or similar. Masters degree will be preferred.

2. Familiar with SLAM-related open-source frameworks (such as Cartographer ORBSLAM and LVI-SAM) with experience in 2D/3D laser point cloud feature extraction description and matching and with practical project implementation experience.

3. Familiar with processing and fusion of sensor data from various sensors such as LiDAR depth cameras and ultrasonic sensors and has practical project implementation experience.

4. Proficient in C Python programming language familiar with Linux operating system and common commands familiar with ROS1 ROS2 Micro ROS Agent and Isaac ROS software architecture.

5. Proficient in using the tools of Docker QT Gazebo and Rviz etc.

6. Possess a good awareness of code standards familiar with Git version control and agile development processes.

7. Good at English.

8. Good communication and teamwork skills.

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