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ADAS Algorithm Engineer - Advanced Parking

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Onsite

ADAS Algorithm Engineer - Advanced Parking

梅赛德斯-奔驰租赁有限公司

ADAS Algorithm Engineer - Advanced Parking

Skills

Linux

3 months ago

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Important information


Contract type:

Permanent

Location:

Shanghai, China

Work mode:

Onsite

Published on:

7 August 2026

What they need


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

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