In this highly visible role, you will manage selection, implementation & optimization of manufacturing processes for mechanical enclosure subassemblies for our legendary products. Responsibilities include developing new manufacturing processes to enable future product designs, conducting DOEs to validate process capability, and qualifying processes for mass production.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.You will 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 and assembly 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 resolutionUse 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 corresponding fixtures/consumables/magazines/trays, initiating DOEs to find out the best machine setups, machining path 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 DesignersOwn yield improvement actions and process change decisions based on statistical process control (SPC) data analysis.Identify, research, develop, and qualify premier equipment manufacturers and suppliers