ADAS Algorithm Engineer - Advanced Parking 高阶泊车算法工程师 ID213489

该职位来源于猎聘

• Method and algorithm development, integration and validation with strong focus on trajectory planning, vehicle control and HMI interaction for advanced Parking.

(Automate 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. Qualification Education

Master in vehicle engineering, robotics, electrical engineering or a related field. Experience

Industrial experience in robotics or ADAS/AD software development.

At least 2 year work experience in AD/ADAS software development, on hands experience with parking relevant functions.

Familiar with state-of-the-art planning (A*, EM, Lattice, etc.) and control (MPC, LQR, PID, etc,) algorithms in autonomous parking 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 ADAS 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