In this role, you will be the Operations’ technical owner responsible for end-to-end NPI manufacturing readiness starting from Proto build leading up to the OK2Ship milestone. You will partner closely with the Advanced Manufacturing Engineering (AME) teams including DFx, Test Engineering, Product Design Engineering, and with our manufacturing partners. You will be responsible to ensure overall manufacturing line readiness to enable NPI builds and its execution, and be also accountable to achieve manufacturing metrics and drive failure analysis and corrective actions (FACA).
Responsibilities
Develop holistic manufacturing process flow, line layout, FA process flow, repair and rework process flow, headcount, and machine quantity during New Product Introduction (NPI) builds Collaborate with cross-functional team to drive SMT and FATP Equipment & Fixture schedule and line readiness Manage Major Issue List and facilitate technical discussion to resolve open issues, driving FACA to meet yield targets Drive line cost savings through Capex & MVA reduction by utilizing yield bridge, UPH and OEE optimization Drive development and implementation of repair and rework process flows International travel to supplier sites, up to 25%
Qualifications
BS or higher in Business, Engineering, Supply Chain/Operations discipline or equivalent experience Proven program/project management experience from NPI to high-volume MP Experience working with international contract manufacturers Background in process development, bring-up, and qualification, including Final Assembly, Test, Packout, and SMT processes Knowledge of Design of Experiments and analytical problem-solving approaches Cross-functional collaboration skills Concise and clear communication Understanding of display optical metrology and calibration is a plus Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Knowledge on mechanical tolerance analysis Experience with scripting and data analysis using tools such as Python, JMP and Tableau Experience with manufacturing equipment DFM review