Autonomous Vehicle Global Path Planning Engineer

at  MooVita Pte Ltd

REQUIREMENTS:

• Bachelor’s degree or above in Computer science, Electrical Engineering, Automation Control or related fields.
• Have experience in developing autonomous vehicle or robot path planning algorithms, and be familiar with path search algorithms such as A* algorithm and Dijkstra algorithm.
• Proficient in C++, Python and other programming languages, and have good practical experience in software engineering.
• Be familiar with Qgis visualization tools, understand topological formats, and have the ability to programmatically load components (plugins) to enhance and expand QGIS functions.
• Good teamwork skills, good communication skills and problem-solving skills.
• Have the ability to learn independently and quickly adapt to new technologies, and have a strong interest in autonomous driving technology.

• Develop and implement global path planning algorithms for autonomous vehicles, including A* algorithm, Dijkstra algorithm, etc., to ensure that the vehicle can take the optimal path from the starting point to the destination.
• Develop and maintain path planning modules and RNDF visualization tools to ensure their stability, performance and scalability
• Based on map data and environmental information, path planning algorithms are designed and optimized, taking into account factors such as road topology and traffic rules.
• Analyze and solve problems that arise during path planning, including path adjustment and re-planning in dynamic environments.
• Work with other team members to integrate global path planning functionality into the autonomous driving system and conduct system-level testing and verification.