ADAS Algorithm Engineer - Advanced Parking 高阶泊车算法工程师
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Before you apply
LocationChina (Mainland)-Beijing-Beijing
SeniorityMid
Experience2+ yrs
Company size10,000+ people
First seenOct 18, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Master in vehicle engineering, robotics, electrical engineering or a related field
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.)
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
Practical knowledge of software engineering on Linux/QNX preferred
German is a plus
Skills
ROS
Autoware
Apollo
Linux
QNX
A*
EM
Lattice
MPC
LQR
PID
AutoSAR
CP AutoSAR
AP AutoSAR
Responsibilities
· 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.
Requirements
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