New Grads 2025 - Software Engineer - Computer Vision/Deep Learning

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.

As a New Grad Software Engineer in Computer Vision/Deep Learning at WeRide, you will:

• 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)

Join WeRide and be part of a team developing safe and reliable driverless solutions to make mobility and transportation safer, more affordable, and accessible. Apply today and take the next step in your career in autonomous driving technology!