5 months ago
China (city not specified)Entry Level
Responsibilities
- Develop and deploy perception and deep learning models for real-time autonomous driving applications.
- Design models that forecast the behavior and intentions of vehicles, pedestrians, and other dynamic agents.
- Develop localization and environment-representation algorithms using maps, onboard sensors, and learning-based methods.
- Contribute to motion planning, decision-making, and vehicle-control modules for safe and human-like driving.
- Build simulation platforms with realistic sensor modeling and 3D environment reconstruction.
- Develop high-fidelity simulation scenarios, interactive agent behaviors, and AI-driven simulation evaluation methods.
Requirements
- MS or PhD in Robotics, Computer Science, Physics, Computer Vision, Graphics, Machine Learning, Automation, or a related field, or equivalent practical experience.
- Expected graduation date before December 2026.
- Proficiency in C++ and/or Python, including knowledge of current language features.
- Strong analytical and problem-solving skills.
- Excellent communication and cross-functional collaboration abilities.
- Passion for innovation in the autonomous vehicle industry.
- Preferred: publications at leading machine learning or robotics conferences, proficiency with TensorFlow or PyTorch, LLM or VLM experience, and autonomous-driving competition or challenge experience.
Categories
ML EngineeringRobotics
About WeRide.ai
WeRide builds Level 2–4 autonomous driving systems and operates driverless services—robotaxis, robobuses, robovans, and street-sweeping robots—for cities and mobility operators. It also licenses its WeRide Driving ADAS/AV software to automakers and platform partners, including the Renault‑Nissan‑Mitsubishi Alliance, Uber, Grab, GAC, and Bosch. Founded in 2017 and headquartered in San Jose, it is publicly listed in the U.S. and Hong Kong, with deployments across dozens of cities in 13 countries.