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Apple Manufacturing Design Engineer Intern China, Guangdong Province, Shenzhen 221843103
21.12.2024
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Description
- In this highly visible role, you will manage selection, implementation & optimization of manufacturing processes for mechanical enclosure subassemblies for our legendary products.- You will apply your Mechanical Engineering experience and work cross functionally with Product Design Engineering and Industrial Design to assess product features for manufacturability, and recommend capable production processes and equipment.- You will work with Mechanical Quality Engineers to drive yield improvement through analyses of part quality, defect Pareto, and SPC.- A heavy emphasis will be on working with suppliers to define and refine mechanical tooling and fixtures, and establishing process capability and readiness.- You may audit supplier secondary processes as well as support product phase builds from prototype through ramp and mass production.- Provide leadership at manufacturing sites during development and product production ramp, and drive engineering issues to resolution- Use data to drive process decisions, basic data analysis, DOEs, SPC, etc.- Design best-in-class process based on cosmetic and drawing requirement, mapping out and document process flow and details which includes selecting processing equipments, designing fixtures/automations, initiating DOEs to find out the best process and parameters, and finalizing the process solution from prototype stage to mass production stage.- Define part tolerance and specifications by demonstrating process capability to Product Designers and Industrial Designers. Lead process development/have expertise in assembly - develop automation/fixture for assembly, bonding process (glue, welding), laser process(welding/cutting/etch/surface treatment) etc. Own yield improvement actions and process change decisions based on statistical process control (SPC) data analysis.- Identify, research, develop, and qualify premier equipment manufacturers and supplier
Minimum Qualifications
- Master degree in Mechanical engineering, Material or Industry Engineering, or machine learning, Ph. D is a plus, oversee education background is preferred, proven track record of outstanding academic performances.
- Fluent in English as a working language (verbal and written)
Preferred Qualifications
- Cross disciplinary knowledges like mechatronics, control theory, machine learning are considered plus.
- A standout teammate and self starter with innovation, integrity and attention to details.
- Ability to work on manufacturing sites independently and willingness on over 50% travel frequently (mainly in Asia).
- Action oriented, capable to manage the challenges and provide high qualify outcomes
- Programs management experience, capable to manage the conflicts and execute actions and deliver results;
- Quick learner, capable to quickly pick up process knowledge, self navigated, proactively to provide innovative solution
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