New Grads 2027 - Software Engineer - Perception/Computer Vision

Job description

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4 and is the world's first publicly listed autonomous vehicle (AV) company. Its business footprint now spans more than 60 cities across 13 countries. Powered by the intelligent, versatile, and highly adaptable WeRide One platform, the company provides autonomous driving products and services ranging from Level 2 to Level 4, addressing mobility, logistics, and urban services. ### What you will do: - Team Introduction: The AI team is responsible for developing CV/ML algorithms to understand the surroundings of ego vehicles in real time , including obstacle detection, online mapping, and scene understanding. The perception system takes inputs from multiple sensors across time, and outputs various obstacle-level and scene-level understandings for downstream modules such as prediction and planning, etc. In the AI team, you will: - Develop and deploy cutting-edge perception and deep learning models, including computer vision models, vision-language and large language models (VLMs and LLMs), for real-time integration into our system. - Create and optimize data pipelines for data mining, labeling, training, and evaluation, supporting comprehensive onboard development. - Conduct advanced research in perception algorithms to address complex, real-world scenarios, focusing on areas like object detection, segmentation, road understanding, and motion prediction. - Leverage multi-modal sensor fusion techniques to build robust architectures tailored for autonomous driving. ### Qualifications: - Currently pursuing a degree in Computer Science, Robotics, or a related field, with an expected graduation date between December 2026 and June 2027. - Strong programming experience in C++ or Python. - Experienced in one or more of the following areas: machine learning, robotics, computer vision, data mining, LiDAR. - Knowledgeable in data structures, 3D geometry, and advanced algorithms. - Solid foundation in core robotics principles, including state estimation, 3D reconstruction, and visual odometry. - Excellent software and computing fundamentals. ### Bonus Points: - Experience with Large Language Models (LLM) or Vision Language Models (VLM)