Company DescriptionWe are actively seeking talented environment model construction engineer to join our team, focusing primarily on the mass production of L2 and L2++ autonomous driving systems. As a pivotal member of our intelligent driving team, you will play a crucial role in developing environment model for L2++ level autonomy, contributing to the advancement of autonomous driving technology in mass-produced vehicles.Job Description
Processing the input from localization, static objects, dynamic objects, visual perception results and HD Map, to build an environmental model for PNC.Integrating visual lane line, HD maps, self driving trajectory, and traffic flow to construct a road structure model.Extract vehicle driving reference line based on road structure model and associate the surrounding objects with the reference line.Align interfaces and requirements with upstream and downstream, decompose system requirements, design software architecture and functional implementation.Optimize the environment model to solve various corner cases that may occur during vehicle testing.Participate in project planning, milestone setting, and progress tracking to ensure timely delivery of autonomous driving features for mass production.Qualifications
Master's degree or above in computer science, electronic engineering, mathematics, vehicle engineering, or related fields.Participated in visual lane line post-processing or road structure modeling in mass production projects.Proficiency in programming languages such as C++, Python, etc., with strong coding skills for algorithm development and implementation.Excellent problem-solving skills and the ability to analyze complex technical issues related to autonomous driving.Strong communication skills and a collaborative mindset, with the ability to work effectively in cross-functional teams.Prior experience in L2 and L2++ mass-produced autonomous driving or automotive engineering is highly desirable.