Jobs at WeRide.ai

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

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

Join WeRide's AI team as a Quality Assurance Analyst supporting data quality and annotation. Requires Mandarin and English proficiency, strong attention to detail, and analytical thinking. Data annotation experience is a plus. Role includes training in Malaysia with subsequent relocation to Dubai and offers international exposure and overseas allowances.

The Data Annotator is responsible for labeling datasets, reviewing annotations for quality, collaborating with AI teams, and meeting annotation targets.

Support the PR and Marketing Team through press release writing, media coordination, content development for social media, and event campaigns.

Label, annotate, and QA text/image/audio/video datasets per guidelines. Perform random and targeted checks, identify and escalate edge cases, track quality metrics, and provide feedback to annotators to meet productivity and accuracy targets.

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.

Operate test vehicles up to eight hours daily to evaluate self-driving systems, provide detailed feedback to engineers, prioritize safety, train new safety drivers overseas (>25%), handle vehicle washing and garage support, and represent the company to the public.

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.

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

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.

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

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.

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

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

Responsible for business development of AI data services in Japan, handling client relationships, project negotiations, and market analysis.