AME Engineer

Purpose of the position The main purpose of this position is leading the introduction (NPI), debugging, and sustaining of complex automated manufacturing system. You will be responsible for the electrical and software stability of production equipment, including Robotics, PLCs, AOI system, and AGVs. You will not only directly troubleshoot controls issue, but also introduce latest technology to minimize downtime and optimize cycle time. Duties and Responsibilities Analyze the causes of failures: Use professional analysis techniques and tools to conduct a comprehensive and in-depth inspection and analysis of failed products, and determine the root causes of product failures, including design defects, material problems, manufacturing process deviations, environmental factors, etc. Automatic & Mechanical Equipment Introduction Participate early-stage Design for Manufacturability (DFM), equipment evaluation/design/development and DOE verification assembly process. Push EQ improvement to increase assembly yield and meet customer targets Automatic & Mechanical Equipment Installation & Debug Push vendor’s equipment setup/installation/debug at NPI . Analyze causes of equipment failures and promote resolution. Push EQ preventive improvement to reduce downtime & ensure production continuity. Equipment Maintenance in MP Stage Machine trouble shooting and yield improve during maintenance phase . EQ spare parts management (optimal inventory & Risk alert) Automatic & Mechanical Equipment Assets Management Evaluate, establish and sort EQ lists; EQ IQC and EQ storage at WH , equipment inventory and storage management Formulate EQ maintenance plans, share maintenance experience and organize technician training Education and work experience Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, or related field. 3+ years of electrical maintenance experience in manufacturing, background in automotive electronics, semiconductor, or precision assembly industries preferred. Experience in robotics, AGV, AOI, or related specialized fields is highly preferred. AI implementation experience in automation environme