Develop and implement advanced behavior planning algorithms for autonomous vehicles
Collaborate with cross-functional teams to ensure robust planning system integration
Design, write, and maintain efficient and scalable code in C++ and Python
Contribute to architecture and continuous improvement of behavior planning software
Conduct extensive testing in simulated and real-world environments
Analyze system performance and implement enhancements based on data and feedback

🎯 Requirements

Proficient in modern C++ (11/14/17) and OO programming
Python for rapid prototyping and testing
Debugging, profiling, and optimizing code
Behavior planning algorithms: state machines, behavior trees, probabilistic planning
Path planning algorithms: A*, RRT, optimization-based methods
Master’s degree in CS/Robotics or related field; 3+ years in autonomous driving/ robotics

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