Method and algorithm development, integration and validation with strong focus on trajectory planning and vehicle control for both highway and urban driving.
Development on vehicle control algorithm from planned trajectory to chassis control interface for series product
Build up data-driven based development framework to iteratively improve planning & control system.
Cooperation with relevant internal and external algorithm experts mainly in China and Germany for automated driving and driver assistance systems.
Working with the onsite project team and counter-teams in Germany and the supplier requirements for autonomous driving systems.
Education
Master in vehicle engineering, robotics, electrical engineering or a related field.
Experience
Industrial experience in robotics or ADAS/AD software development.
Development experience on ADAS function(e.g, AEB, ACC, LKA, HWA, etc,).
Familiar with start-of-the-art planning (A*, EM, Lattice, etc.) and control (MPC, LQR, PID, etc,) algorithms in autonomous driving with development experience.
Hands on development experience AD platforms (ROS, Autoware, Apollo, etc.)
Practical knowledge of software engineering on Linux/QNX preferred.
Specific Knowledge
Chinese native speaker with fluent English language skills, German language beneficial.
Strong skill in MBD(MATLAB/Simulink/ dSpace toolkit), C++ programming and scripting languages (Python among others)
Experience with source code management, unit testing, code review and issue tracking systems.
Experience with ADAS Chassis control interface (ESP, EPS, etc,)
Inter-cultural competence and communication skills with various hierarchy levels.
Independent and proactive working style, willingness to travel inside China and abroad to conduct system testing.