主要职责/Your Responsibilities:

Technical key words:

This position holds the responsibility for the described tasks for the VW Group and the brands (Audi, VW), VCTC, CARIZON for the Chinese market. This position has to serve a large amount of interfaces within Volkswagen Group China, in respective field of technology development of ADAS/ ADAP/ ICV.

• Participate in the algorithm research, development and optimization of ADAS systems, including but not limited to visual perception (image recognition, object detection/tracking), multi-sensor fusion (USS/camera/radar/Lidar data fusion), decision-making and planning modules.
• Assist in the engineering implementation of algorithms, including code development, unit testing, simulation verification and support for real-vehicle testing.
• Participate in the compilation of technical documents, including algorithm design documents, test reports and patent applications.
• Track the latest technological trends in the industry and engage in technology pre-research and exploration of innovative solutions.

岗位要求/Required Qualification:

• Education: This position requires a Master degree in computer science, automation, electronic information, vehicle engineering, mathematics or respective field.
• Proficiency in C/C++/Python programming languages with good code standards and engineering practice capabilities.
• Solid foundation in data structures and algorithms; familiarity with common machine learning/deep learning frameworks (such as TensorFlow, PyTorch) is preferred.
• Strong mathematical foundation (linear algebra, probability theory, calculus) and understanding of computer vision or robot kinematics related theories.
• Familiarity with Linux development environment and experience in using tools such as Shell scripts and CMake.
• Clear logical thinking, strong ability in problem analysis and solving, as well as good communication, collaboration and self-motivation.
• Preferred Qualifications (Relevant Experience is a Plus)
  • Relevant project experience in ADAS/AD (including course design, competitions, research projects and internships).
  • Familiarity with visual perception algorithms (such as object detection, semantic segmentation, feature matching) or sensor fusion algorithms (such as Kalman filter, particle filter).
  • Knowledge of decision-making and planning algorithms (such as A*, RRT*, model predictive control) or embedded system development (such as ROS, QNX).
  • Publications of relevant technical papers, patents or awards in competitions.