What you will do:
- Multi-Agent Planning: Design and optimize path planning algorithms for road participants to ensure the creation of realistic and logical movement trajectories. This includes modeling interactions between multiple agents to form rich and diverse complex environments.
- 3D Reconstruction: Develop and improve 3D reconstruction algorithms to create high-precision 3D environmental models from various sensor data sources.
- World Model: Create and maintain the vehicle's world model by integrating sensor data to enhance the end-to-end simulation capabilities of autonomous driving.
- Collaboration: Work closely with cross-functional teams including perception, control, and software engineering to drive project progress.
- Performance Analysis and Optimization: Conduct performance analysis and optimization of algorithms to ensure high efficiency and reliability in real-world applications.
- Research and Innovation: Keep abreast of the latest research and technological developments in the field, continuously improving and innovating our systems.
Requirements:
- Master’s or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
- At least 5 years of relevant experience, particularly in autonomous driving, robotics, or related model development fields.
- Proficiency in programming languages such as C++ and Python, with strong capabilities in algorithm design and implementation.
- In-depth understanding and practical experience in path planning, 3D reconstruction, and environmental modeling.
- Familiarity with deep learning, reinforcement learning, and other machine learning techniques, and the ability to apply them to real-world problems.
- Strong foundation in mathematics and statistics, capable of performing complex algorithm analysis and optimization.
- Team-oriented with excellent communication skills, able to work effectively with colleagues from diverse backgrounds.
- Innovative mindset, capable of proactively proposing new solutions and improvements.
Plus:
- Publications in top-tier academic conferences or journals in related fields.
- Experience with frameworks such as ROS, TensorFlow, or PyTorch.
- Practical project experience or participation in autonomous driving competitions.
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What We Do
WeRide is a global leading company that develops Level 4 autonomous driving technologies, bringing smart cities with new products, new business model and new experience.
WeRide has received strategic investments from top-tier global automakers, including Renault-Nissan-Mitsubishi Alliance and Yutong Group. WeRide is the first startup in the world that holds driverless test permits in both China and the US.
Through strategic alliances with car makers, mobility and logistics service platforms, WeRide offers an all-rounded product mix of Robotaxi, Mini Robobus and Robovan to provide multiple services including online ride-hailing, on-demand transport and urban logistics.
WeRide launched China’s first Robotaxi service, completely open to public, in November 2019, in Guangzhou, China, covering an area of 144 square kilometers. WeRide has also conducted commercial pilot operations and fully driverless testing for Mini Robobus and Robovan.
Established in 2017, WeRide is headquartered in Guangzhou, China, and maintains R&D and operation centers in Beijing, Shanghai, Shenzhen, Nanjing, Wuhan, Zhengzhou and Anqing, as well as San Jose in the US. It employs a highly skilled team of over 800 employees around the globe and has extensive domestic and international experience in R&D, business development and operations.
