WeRide.ai

Join WeRide as a 2027 new-grad Software Engineer developing algorithms for autonomous vehicles, including prediction, mapping and localization, planning and control, or simulation. You’ll help build safer, more reliable Level 2–4 autonomous driving systems.

Join WeRide's AI team as a new graduate software engineer developing real-time perception and computer vision systems for autonomous vehicles. You will build deep learning models, sensor-fusion architectures, and data pipelines supporting Level 2–4 autonomous driving.

Build scalable cloud infrastructure platforms powering autonomous driving, including PaaS and IaaS for data, AI, simulation, storage, and distributed computing. This role focuses on high-performance distributed systems, profiling, monitoring, and platform reliability.

WeRide is seeking a Motion Planning Engineer to build and launch robotic motion-planning, path-planning, behavioral-planning, and vehicle-control software for autonomous vehicles. The role focuses on making real-time, safety-critical decisions across Level 2–4 autonomy systems.

WeRide is seeking a Perception Engineer to develop next-generation computer vision and machine learning algorithms for autonomous vehicles. The role focuses on sensor fusion, 3D scene understanding, onboard systems, and rapid iteration on challenging driving scenarios.

WeRide is seeking an experienced Backend/Infrastructure Software Engineer to build large-scale systems that support autonomous driving and mobility technologies. The role focuses on solving challenging AI and robotics infrastructure problems using C++, Java, and Python.

Software Engineer building visual mapping pipelines and real-time localization algorithms for autonomous vehicles. The role combines sensor fusion, computer vision, SLAM, and probabilistic estimation using real-world data in uncertain environments.

Build advanced autonomous-driving software at WeRide, tackling challenging AI and robotics problems across perception, sensor fusion, machine learning, object tracking, and motion planning. The role offers the opportunity to work with leading mobility experts on Level 2–4 autonomous vehicle technology.

Application Engineer responsible for deploying, integrating, debugging, and validating autonomous driving systems across vehicle platforms, embedded computers, sensors, and the full autonomy stack. The role combines incident triage, sensor calibration, robotics software, and field deployment support.