WeRide is a leading, commercial-stage global company that develops autonomous driving technologies from Level 2 to Level 4. It offers an all-rounded product mix of Robotaxi, Robobus, Robosweeper, Robovan and Advanced Driving Solution to provide services. WeRide aims to develop safe and reliable driverless solutions to make our mobility and transportation safer, more affordable, and accessible.
What you will do:
- Develop and deploy cutting-edge perception and deep learning models, including vision-language and large language models (VLMs and LLMs), for real-time integration into our system.
- Create and optimize data pipelines for data mining, labeling, training, and evaluation, supporting comprehensive onboard development.
- Conduct advanced research in perception algorithms to address complex, real-world scenarios, focusing on areas like object detection, segmentation, road understanding, and motion prediction.
- Leverage multi-modal sensor fusion techniques to build robust architectures tailored for autonomous driving.
- Contribute to the ongoing development and refinement of current models on the WeRide platform in close collaboration within Perception team and cross-functional efforts with other teams.
Qualifications:
- Currently pursuing a degree in Computer Science, Robotics, or a related field, with an expected graduation date between December 2024 and June 2025.
- Strong programming experience in C++ or Python.
- Experienced in one or more of the following areas: machine learning, robotics, computer vision, data mining, LiDAR.
- Knowledgeable in data structures, 3D geometry, and advanced algorithms. Solid foundation in core robotics principles, including state estimation, 3D reconstruction, and visual odometry.
- Excellent software and computing fundamentals
Bonus Points:
- Experience with Large Language Models (LLM) or Vision Language Models (VLM)
What Happens Next:
We’ll take a few weeks to review all applications. If we’d like to move forward with you, we’ll reach out to arrange the next steps, which may include an online assessment, a call with a recruiter, and 4-5 interviews with your future colleagues to better inform our decision.
During the interview process, we aim to learn more about your skills, experiences, and motivators. Many of our questions will focus on understanding how you might operate here at WeRide. Please note that, due to the high volume of applications we receive, we’re unable to offer individual feedback during the interview process.
We recognize that interviewing for a new role is significant, and we appreciate you considering WeRide as the next step in your career. Our Recruiting Team is here to support you throughout the interview process. Come join us and apply today!
WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan
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.
