梅赛德斯-奔驰租赁有限公司
ADAS Algorithm Engineer - Advanced Parking
Skills
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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