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Key skills for this role
AI
Develop and deploy cutting-edge perception and deep learning models, including computer vision, vision-language, and large language models (VLMs/LLMs), for real-time autonomous driving applications
Design models that forecast the behaviors and intentions of surrounding vehicles, pedestrians, and other dynamic agents, enabling safer driving decisions
Robotics
Explore algorithms for vehicle localization and environment representation, leveraging maps, onboard sensors, and learning-based methods to ensure reliable positioning in diverse conditions
Contribute to motion planning and decision-making modules that support safe, efficient, and human-like driving behaviors, as well as robust vehicle control algorithms
Simulation Core
Build simulation platforms with realistic sensor modeling and 3D environment reconstruction to accelerate the validation and development of autonomous driving technologies
Develop high-fidelity simulation scenarios, realistic agent behaviors that interact with AV algorithms, and AI-driven methodologies for simulation evaluation
Published research presented at leading machine learning or robotics conferences such as NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA.
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China, USA
North Salt Lake, USA
North Salt Lake, USA
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China, USA
North Salt Lake, USA
Proficient in machine learning frameworks, such as TensorFlow or PyTorch.
Experience with Large Language Models (LLM) or Vision Language Models (VLM).
Experience in open-source competitions or challenges related to autonomous driving.
WeRide is a Chinese autonomous driving company headquartered in Guangzhou that develops self-driving technology and operates robotaxi, robobus, robovan, robosweeper, and autonomous trucking services across multiple countries. Founded in 2017, it is publicly listed on NASDAQ (WRD).
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