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)
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