Software Engineer - Mapping & Localization

Python

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days.

WeRide.ai Silicon Valley team is looking for outstanding Software Engineers to lead our visual mapping and localization efforts. We're looking for an engineer with an advanced degree and experience building mapping and localization systems that work with real data in uncertain environments.

You will be responsible for:

Build state-of-the art mapping pipelines that combine data from a wide variety of sensors, as well as localization algorithms that make use of these maps in realtime.

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)

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