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

Develop and deploy perception and deep learning models (CV, VLMs/LLMs), behavior prediction, localization, motion planning, control, and high-fidelity simulation for autonomous driving.

Operate and evaluate self-driving test vehicles up to 8 hours daily, prioritize safety, provide detailed feedback to engineers, communicate with the public, and perform ad-hoc vehicle and garage maintenance tasks.

Design, implement and lead comprehensive testing plans for L4 autonomous vehicles; perform functional, performance, and safety testing; analyze test data, identify and fix issues; oversee Singapore testing operations and collaborate with partners; travel internationally for local deployments.

Join the AI team to develop and deploy real-time perception and deep learning models for autonomous vehicles. Build and optimize data pipelines, research object detection, segmentation, road understanding, motion prediction, and apply multi-modal sensor fusion for robust onboard perception.

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

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.