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Manufacturing Engineer (NPI)
1.2-1.7万·14薪
人 · 本科 · 5-7年工作经验 · 性别不限2024/11/15发布
五险一金员工旅游餐饮补贴年终奖金定期体检专业培训出国机会

苏州工业园区

低价好房出租>>

星海街6号

公司信息
力特公司

外资(欧美)/1000-5000人

该公司所有职位
职位描述
Reporting to the ME Supervisor, you as a Manufacturing Engineer will be responsible for preparing process, equipment, and tooling before PPAP based quality, cost, and delivery. ….
About the job:
Work with R&D team to develop and support concurrent New Product projects through design-to-cost principles, design for manufacturability and the transition of new and improved products from development through full-scale production.Task 2
Assure new project processes and product are capable of meeting performance and reliability requirements
Continue improvement for existing production line, and cost improvement
Define tooling and equipment requirements, capital equipment justification, and qualifying both tooling and equipment for production
Develop new product and new process documentation (Flow chart, FMEA, work instructions, routings, specifications, assembly information).
Conduct error-proofing analyses and determine root cause of process variation and product failures.
Determine cause of field problems & customer complaints. Implement effective corrective action in a timely manner
Assess and improve quality of internal production and the quality of suppliers.
Work closely with internal and external technical support. Perform internal and external (supplier) process, product, and systems audits.
Other task which supervisor request
About you:
Bachelor’s degree in engineering science - mechanical engineering, electrical engineering, engineering mechanics or related disciplines
Minimum 5 years’ experience, at least 3 years in process development, automotive industry experience is preferred
Familiar with new equipement development
Automotive sensor technology is preferred: Familiar with Assembly process, welding process such as resistance welding, laser welding process; Potting and dispensing process, soldering process, and EOL testing process.
Have statistic data analysis for process analysis and improvement, GB/BB is Plus
Familiar with TS16949, APQP, lean manufacturing
Open Mind, Passion for Excellence and Good Communication capability will be strongly expected
Good at English language ability in reading, writing,

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