We are seeking an Autonomous Driving Test Engineer to support the testing, validation, and deployment of robo-delivery systems operating in real-world environments. This role emphasizes on-road testing, system integration, sensor validation, and operational robustness, working closely with software, systems, and operations teams to ensure safe, reliable, and scalable autonomous delivery services.
Role Breakdown: This role focuses on real-world vehicle testing (35%), system integration and sensor validation (25%), and test strategy and validation (20%). It also includes test automation (10%) and cross-functional collaboration (10%) to ensure issues are resolved and system performance is continuously improved.
Key Responsibilities:
- Develop and execute overall test plans and testing strategies for autonomous driving functions, including on-vehicle robo-delivery testing plans
- Conduct full-process functional, performance, and reliability testing in accordance with technical standards and design objectives
- Perform functional integration, joint debugging, performance validation, and acceptance testing of sensors and controllers
- Conduct system-level testing for assigned functional modules; identify system issues and collaborate with software R&D teams to resolve issues and improve system performance
- Design test automation solutions based on product and project needs, and develop corresponding testing tools and scripts
An ideal candidate for this role must have:
- Familiarity with ADAS and autonomous driving system architectures and functions, including related testing processes and tools
- Good understanding of mainstream autonomous driving technical approaches and implementation solutions, with the ability to identify upstream and downstream system dependencies and performance metrics
- Familiarity with requirements management, system design, vehicle-level function and performance matching, and calibration activities
- Ability to independently design and execute vehicle-level and system-level development, testing, and validation plans
- Proficient driving skills with a minimum of 2 years of driving experience
- Experience in managing or executing large-scale vehicle-level road testing and validation, including issue reporting and tracking
- Understanding of autonomous driving sensor data acquisition systems or established approaches to related challenges
- Proficiency in at least one programming language (C, C++, Python, or MATLAB)
- Familiarity with the Linux operating system and automotive testing tools such as CANoe, CANape, or equivalent
