Bosch Rexroth is seeking a Lane Change Decision Planning Expert in Suzhou, China, to develop innovative decision-making algorithms for autonomous driving. The ideal candidate will possess advanced knowledge in artificial intelligence and automatic lane change systems, as well as strong programming skills in C++ and Python
Job Summary
The role focuses on designing and implementing advanced lane change decision algorithms for autonomous vehicles without relying on high-definition maps.
Candidates will collaborate with cross-functional teams to integrate these algorithms into the broader autonomous driving system architecture.
The position requires solving real-world challenges such as noise inputs and unstable predictions to ensure robust decision-making logic.
Matching Summary
Match Score: 85
Bosch Rexroth is seeking a Lane Change Decision Planning Expert in Suzhou, China, to develop innovative decision-making algorithms for autonomous driving. The ideal candidate will possess advanced knowledge in artificial intelligence and automatic lane change systems, as well as strong programming skills in C++ and Python.
Skills & Requirements
Must-have
Autonomous lane change algorithm design
POMDP MCTS Reinforcement Learning expertise
C++ multi-threaded embedded system development
A* search dynamic planning optimization
Multi-agent game theory application
Nice-to-have
Ability to replicate complex research papers
System-level KPI definition skills
Cross-functional team collaboration experience
Adaptability to unstable prediction inputs
Key Requirements
Master's degree in Computer Science or related field
Deep background in C++ and Python programming
Expertise in AI search methods and tree/graph search