ProcessDigitalizationEngineer

Objective of Job ·      Implement digital tools such as AI and big data to promote the intellectualization of processes ·      Digitalize and visualize of data in the fields of autonomous driving and intelligent cockpit system integration, test verification, digital test platform operation and maintenance, and test resource management. ·      Improve the efficiency of R&D testing, resource utilization rate, and the refinement level of management to support the efficient advancement of R&D business. 1.      Digital Process and Tool Implementation •     Be responsible for the digital sorting and optimization of the entire process of MB.OS system integration and test. Combine AI and big data technologies to design and implement digital solutions (such as process automation, data closed-loop management, etc.), eliminate process breakpoints, and improve process compliance and efficiency. •     Introduce, adapt, and secondary-develop AI and big data-related tools (such as test data mining, anomaly detection, robotic process automation (RPA), etc.), and apply them to scenarios such as test case generation, test result analysis, and fault location to reduce labor costs and improve test accuracy. •     Promote the digital standardization of the entire system integration and testing process, formulate specifications for data collection, storage, analysis, and application, and ensure that processes are traceable and data is reusable. 2.      Digital Test Platform Support •     Cooperate with the development and operation and maintenance of the digital test platform, be responsible for the construction and optimization of the platform's data module and AI analysis module, realize real-time collection, batch processing, intelligent analysis, and visual display of test data, and support the efficient and stable operation of the test platform. •     Based on test platform data, use big data algorithms to mine the laws and bottlenecks in the testing process, output analysis reports