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Entry-level software engineer for autonomous vehicle systems. Build real-time in-vehicle systems, data transport and logging, communication between embedded devices and hosts, cloud/backend ML infrastructure, model deployment and evaluation, GPU/CPU kernel optimization, and tooling to support developers and large-scale model workflows.

Develop efficient ML solutions for perception including sensor fusion, obstacle detection, scene understanding, and robust onboard systems.

Develop and validate advanced driver assistance and autonomous driving systems, ensuring compliance with regulatory requirements while mentoring junior engineers.

Label and review large text, audio, image, and video datasets to ensure annotation quality and consistency; follow project guidelines, meet targets, and provide process feedback to ML teams.

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.

Operate and evaluate self-driving test vehicles up to 8 hours daily, provide detailed feedback to engineers, ensure safety, train new safety drivers overseas (>25%), and support miscellaneous vehicle and garage tasks for the startup.

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

Lead visual mapping and localization efforts by building advanced mapping pipelines and real-time localization algorithms using various sensor data.

WeRide is seeking skilled software engineers to tackle AI and robotics challenges, focusing on areas like computer vision and machine learning.