WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.
This NG position is based in Beijing, Guangzhou, or Shanghai, China.
What You May Work On:
AI
Develop and deploy cutting-edge perception and deep learning models, including computer vision, vision-language, and large language models (VLMs/LLMs), for real-time autonomous driving applications
Design models that forecast the behaviors and intentions of surrounding vehicles, pedestrians, and other dynamic agents, enabling safer driving decisions
Robotics
Explore algorithms for vehicle localization and environment representation, leveraging maps, onboard sensors, and learning-based methods to ensure reliable positioning in diverse conditions
Contribute to motion planning and decision-making modules that support safe, efficient, and human-like driving behaviors, as well as robust vehicle control algorithms
Simulation Core
Build simulation platforms with realistic sensor modeling and 3D environment reconstruction to accelerate the validation and development of autonomous driving technologies
Develop high-fidelity simulation scenarios, realistic agent behaviors that interact with AV algorithms, and AI-driven methodologies for simulation evaluation
Qualifications:
MS/PhD degree in Robotics, Computer Science, Physics, Computer Vision, Graphics, Machine Learning, Automation or equivalent practical experience, with an expected graduation date before December 2026.
Proficient in C++ and/or Python with knowledge of its latest features.
Strong analytical and problem-solving skills.
Excellent communication, and cross-functional team collaboration abilities.
Passion for innovation in the autonomous vehicle industry.
Bonus Points:
Published research presented at leading machine learning or robotics conferences such as NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA.
Proficient in machine learning frameworks, such as TensorFlow or PyTorch.
Experience with Large Language Models (LLM) or Vision Language Models (VLM).
Experience in open-source competitions or challenges related to autonomous driving.