- In this highly visible role, you will manage selection, implementation & optimization of manufacturing processes for mechanical enclosure subassemblies for our legendary products.- You will utilize 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.- Work closely with Cupertino-based MDEs in the development of above said processes.- Partner with Global Supply Managers to develop new equipment from RFQ through factory implementation, and manufacture and deliver material to downstream supply chain nodes on time and on cost.- You will work with Supplier 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