职位描述
职位名称:  ADAS Algorithm (Campus)
公司:  大众酷翼(北京)科技有限公司
发布起始日期:  2026/3/25
职位地点:  合肥
职能:  研发
职位描述: 

岗位描述/Department Mission

  • The purpose and objective of C|GF is to develop functions, systems and technology (HW + SW + System) within the domain of ADAS/ ADAP Functions for the Chinese market. This position assures that this technology is competitive, compliant with Chinese laws, standards & regulations.
  • C|GF is responsible for planning and overseeing pre-development and series development activities of Driving/Parking/Guard technology for ADAS/ ADAP for CEA architectures used within the whole Volkswagen Group in China and is responsible for implementation. The objective is the development, integration, application, validation and release of these systems for the cars of the Volkswagen brands in China.
  • Manage and develop technical requirements or technical specification of Driving/Parking/Guard technology for ADAS/ ADAP of CEA. Establish and ensure efficient processes and standards to meet VW Group standards. Strategical responsibility for Driving/Parking/Guard technology for ADAS / ADAP of CEA in overall decision-making processes.
  • C|GF is as strong interface to VCTC and CARIZON. According to the Volkswagen Group strategy, C|GF gains an essential contribution for both brands (Audi, VW) in Volkswagen Group as well as CARIAD SE. This position leads the strategic collaboration with new Chinese technology suppliers . The success in the development of ADAP is essential for the success of the whole Volkswagen Group in China (competitiveness, premium demand, compliance to standards/ regulations, etc.).

 

 

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.