Objective of Job:

- Method and algorithm development, integration and validation with strong focus on trajectory planning, vehicle control and HMI interaction for advanced Parking.  (Remote Parking, Valet Parking etc.)

- 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 parking performance.

- Cooperation with relevant internal and external algorithm experts mainly in China and Germany for automated parking systems.

- Cooperating between different local and global stakeholders, to ensure technical leading of Plan& Control algorithm in market and meanwhile the compatibility and efficiency to MBOS architecture.

- Collect & Analysis the issues during SW implementation and testing and tracking on the problem progress.

Task Description:

- Develop trajectory planning and vehicle control SW for both prototype and series engineering projects:

- Develop trajectory planning and vehicle motion control SW with cooperating both internal and external partner for highway and urban AD driving system

- Perform simulation and in- vehicle testing and tuning on the performance

- AD prototype testing & evaluation of 3rd party AD technology basd on a PoC level:

- Plan & conduct AD vehicle testing for a step-by-step function integration

- Support external tech company to understand and work with in-house developed trajectory planning/ vehicle control SW module.

- Evaluate external AD system together with the advanced engineering team.

- Project management & collaboration with other external tech companies

- Actively drive & track project progress, connect & synchronize internal & external stakeholders from China and Germany.

- Understand and support the development of the RD China strategy

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 Parking function(e.g, APA, MPA, RPA 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

- Proficient in automotive electronics industry systems, processes, standards, and toolchains; have an in-depth understanding and insights into the development trends of automotive products and technologies

- Proficient knowledge on Plan & Control Algorithm

- Proficient knowledge in Parking function Design

- Proficient knowledge in AD SW development process

- Good understanding on overall vehicle E/E architecture

- Good understanding in CP and AP AutoSAR

- Has teamwork spirit, willing to share, able to self-motivate, and influences and leads the team with a positive, hardworking, and optimistic attitude

- Fluent English, German is a plus