About the role
Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days. WeRide.ai Silicon Valley team is seeking a motivated Data Engineer to join our Metrics Team. This role focuses on supporting the development of L3+ Advanced Driver Assistance Systems (ADAS) and L4 Autonomous Driving (AD) Systems by building scalable evaluation frameworks and high-impact scenarios that drive continuous improvement in autonomous driving. Ideal candidates will have a strong understanding of business needs, data pipelines, and system behavior, with the ability to translate complex test data into actionable insights. \n What You Will Do: Create algorithms to evaluate the safety, comfort, and other performance aspects of autonomous driving systems to ensure their reliable operation. Understand business
requirements, delve deep into autonomous driving operations, map out business processes, and design data pipelines and metric systems to quantify the capabilities of the autonomous driving system. Aggregate and analyze autonomous driving test data, perform deep-dive investigations into the causes of data variations, and identify system issues through data analysis. Take responsibility for data visualization and the automation of reports to present data intuitively and support decision-making. Efficiently extract high-value traffic scenarios from massive, unstructured test data to drive improvements in the autonomous driving system. Utilize algorithmic models or rules to develop performance metrics and automated evaluation methods for autonomous driving algorithms. Build a comprehensive framework for evaluating autonomous driving behavior.
Requirements Educational Background: Bachelor's degree or higher in Computer Science, Physics, Software Engineering, Mathematics, Information Engineering, Statistics, or a related field. Programming Skills: Proficient in C++, with a solid programming foundation and a strong sense of good coding practices. Familiar with common data structures and algorithms, capable of writing efficient and stable code. Experience with development in a Linux/Unix environment, familiar with common development and debugging tools. Data Analysis Skills: Proficient in big data processing and analysis, with expertise in SQL and Python programming. Ability to identify patterns from massive datasets and build effective evaluation models. General