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As a Machine Learning Engineer, you will address AI and robotics challenges, focusing on areas like computer vision, sensor fusion, and predictive modeling.

Join WeRide as a Software Engineer to tackle complex AI and robotics challenges in autonomous driving technology, focusing on computer vision, sensor fusion, and machine learning.

Develop scalable PaaS and IaaS platforms for autonomous driving, improving performance and efficiency through architecture and data processing.

WeRide is seeking a Backend/Infrastructure Software Engineer with 3+ years of experience to build large-scale systems for autonomous driving technologies.

Assist in HR operations by supporting recruitment processes, managing documents, coordinating activities, and handling confidential information. Must work onsite.

The Production Engineer will debug software and hardware for autonomous vehicles, analyze performance, and develop improvements for incident management.

Develop real-time systems and cloud infrastructure for autonomous vehicles, enhance performance, and optimize model deployment. Collaborate with cross-functional teams on various engineering tasks.

Oversee project deployment and operations of autonomous vehicles in Singapore, ensuring communication with stakeholders and facilitating vehicle safety tests.

The role involves developing and deploying perception and deep learning models for autonomous driving, optimizing data pipelines, and conducting research in perception algorithms.

Lead the development and commercialization of L4 autonomous driving systems, managing product roadmaps, strategy, and verification processes while collaborating with engineering teams and stakeholders.