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

Interns will develop drive-by-wire systems, troubleshoot vehicle control issues, and collaborate on integration for autonomous vehicles.

The Data Engineer will support the development of autonomous driving technologies by creating algorithms, designing data pipelines, analyzing test data, and automating reports for decision-making.

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.

Interns will work on machine learning solutions for autonomous driving, contributing to real-world projects in perception, prediction, and planning.

Interns will work with engineers to develop software for autonomous driving, optimize algorithms, and collaborate on innovative projects.

Design and implement rigorous statistical evaluation frameworks and KPIs to assess ADAS/AV system and sub-system performance. Build automated pipelines, run experiments and causal analyses, collaborate with engineering teams, mentor junior staff, and communicate insights to stakeholders to guide release readiness and system improvements.

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.

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

Develop and integrate motion planning algorithms and software for autonomous vehicles, ensuring computational efficiency and real-time performance in various conditions.

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.

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