Job duties：
1.Responsible for building AI agent-based automated debugging capabilities for motor control programs: for customers' actual motors and operating conditions, realize automated parameter configuration generation, motor parameter identification, loop tuning, and abnormal fault localization, replacing the current manual experience-dependent debugging process.
2.Responsible for reliability testing of motor control programs: build automated test cases and regression systems covering abnormal conditions such as startup, locked-rotor, overcurrent, undervoltage, and temperature rise, output reliability verification reports, and ensure customer programs are fully validated before mass production.
3.Responsible for end-to-end process integration based on customer on-site needs: investigate customer pain points in development and production line stages, integrate agents with knowledge bases, debugging toolchains, and test fixtures, and deliver a complete closed-loop solution directly usable by customers.
4.Responsible for coordinating with algorithm teams, completing effectiveness validation and issue localization of model optimization results and knowledge bases in real-world scenarios, feeding back various engineering issues encountered in industrial and motor control application scenarios, driving model and knowledge base iteration, and consolidating best practices and delivery standards.
Job requirements：
1.Majors: Electrical Engineering and Automation, Automation, Control Science and Engineering, Electronic Information Engineering, Electronic Science and Technology, Microelectronics Science and Engineering, Mechatronic Engineering, Computer Science and Technology, Artificial Intelligence, Software Engineering, or related fields.
2.Bachelor's degree or above.
Apply
