דרושים Automation Systems Designer - Mechanical Month Contract ב-Johnson Electric ב-China, Jiangmen

Responsibilities:

• Lead the design and optimization of mechanical components for E-bike systems.
• Collaborate with hardware and prototyping teams to ensure seamless integration of mechanical designs.
• Conduct stress analysis and simulations to validate design efficacy.
• Remain abreast of industry best practices to implement cutting-edge mechanical solutions.
• Prepare documentation and provide guidance on mechanical design standards.

Requirements:

• Bachelor’s degree in Mechanics or related discipline.
• Minimum of 5 years’ experience in mechanical design, preferably in E-bike or automotive sectors.
• With gear expertise, motor design know-how, understanding of tolerances, SolidWorks experience.
• Strong understanding of manufacturing processes and material properties.
• Good command of English.
• Excellent communication skills and team collaboration capabilities.

1.Programming for testing machines,Preparing machine operation manual, MSR;
2.Hardware control system development for testing machines;
3.ESI, QFD, LOR;
4.Machine assembly following up, fine tuning and trial run;
5.Join 3P activity of BU's new project.

Qualifications:
1. CET-4 or above, use English to communicate normally with overseas colleagues;
2.Understand mechanical design 3D drawings, and independently complete the development of non-standard automation equipment program logic;
3.Deep understanding of the PLC system architecture and teach model programming- e.g. Keyence, Siemen, Omron, Mitsubishi;
4.AI knowledge - e.g AI auto generator the PLC programming, AI analysis of key process big data;
5.Learn about Siemen's Digital Twin system - e.g NX MCD offline simulation;
6.Able to workingindependently(Businesstrips at home and aborad).

Key Responsibilities:

• Develop, implement, and deliver comprehensive technical training programs focused on automation, robotics, and smart manufacturing tools.

• Collaborate with cross-functional teams to identify training needs and design tailored solutions to address skill gaps.

• Stay abreast of emerging trends and technologies in automation and smart manufacturing (e.g., AI/ML in production, predictive maintenance) to ensure training content remains cutting-edge and relevant.

• Provide hands-on training and mentorship to employees, fostering a culture of continuous learning and professional development.

• Evaluate the effectiveness of training programs through assessments, feedback, and performance metrics, and implement improvements as needed.

• Support the implementation and adherence to ISO 9001, IATF 16949, and other quality management systems, ensuring compliance with industry standards.

• Develop and maintain training materials, including manuals, presentations, and e-learning modules.

Qualifications, Experience, and Skills:

• Bachelor’s degree or higher in Engineering, Automation, Manufacturing, or a related field.

• 5–8 years of experience in automation, smart manufacturing, or a related technical field.

• Excellent communication, presentation, and interpersonal skills.

• Strong problem-solving abilities and a proactive approach to addressing challenges.

• Proficiency in training software and tools, including e-learning platforms.

• Knowledge of ISO 9001, IATF 16949, and related quality management tools (e.g., APQP, FMEA, SPC, MSA, PPAP) is a plus.

• Experience with MES, DFM, CpK or other process improvement methodologies.

• Certification in training or adult education (e.g., CPTD from ATD, CTP in China) is desirable.

• Familiarity with AI, Machine Learning, IoT, and data analytics in manufacturing is an advantage.

• Fluent in Mandarin with a strong command of written and spoken English.

As a key technical support force in the production department, the automation engineer is committed to applying automation technology and engineering methods to optimize production processes, enhance the automation level of equipment, and ensure the stable and efficient operation of production lines. This aims to maximize production efficiency, optimize product quality, and help the enterprise achieve cost control and safety production goals, driving production manufacturing towards intelligence and refinement.

• Upgrade of Automated Production Lines: conduct in-depth research on production process requirements, collaborate with process engineers to analyze existing production line bottlenecks, and customize renovation for automated production lines; lead the implementation of automated production line upgrade projects, monitor the entire process of mechanical installation, electrical wiring, and debugging.

• Troubleshooting of Automated Production Equipment: establish and implement a daily autonomous inspection system for production equipment, monitor the operating status; in the equipment down time, respond quickly and release the signal, locate the root cause of the failure.

• Integration and Optimization of Automation Systems and Production Processes: embed automation technology into each node of the production process, adjust the operating parameters of the automation system according to material replenishment requirements.

• Personnel Training and Technical Support: conduct training courses on the operation; prepare practical operation instructions when new technologies and new processes are introduced into the production department.

• Cross-Departmental Collaboration: maintain close communication with MD, PsE, Quality, and other departments; establish a stable cooperative relationship with MD and TR to promote continuous improvement.

• Bachelor’s degree or above majoring in engineering, preferably in mechanical, industrial, or manufacturing engineering.

• 10 years of experience in production engineering, exposure in automotive industry is a must, with a proven track record in automation deployment.

• Proficiency in process design, fixture design, and quality control tools. Knowledge of digital manufacturing technologies is a plus.

• Familiar with tools like SPC, MSA, FMEA, etc.

• Strong communication and collaboration skills to work effectively with cross-functional teams. Problem - solving skills, attention to detail, and the ability to drive continuous improvement are essential.