Requirements:
- 3 years of professional experience (industrial experience is a plus)
- Familiar with state of the art theory for visual SLAM and place recognition
- Highly skilled in probabilistic filtering theory, computer vision and inertial pose theory
- Fluent in C++. Python skills are a plus
- Proven track record in implementing computationally expensive algorithm in commodity hardware
- Prior experience in any of pose estimation, probabilistic filtering, SLAM, nonlinear optimization
- Comfortable building in undefined and fast paced environments
- Experience in self driving technologies is a plus
Plus:
- Knowledge of Linux, and development on Linux systems
- Knowledge of ROS
- Experience working in an automotive, aerospace environments
- Previous experience with robotic or vehicle systems
- Development experience with embedded systems with real-time constraints
- Experience with realtime sensor fusion (e.g. IMU, lidar, camera, odometry, radar)
Top Skills
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.
