Product Quality Engineer

Apple•Cupertino, CA

13h•Onsite

About The Position

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do. APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Ensure product quality during the pre-launch development cycle by generating and implementing the Product Quality Plan (PQP) for products. Drive quality improvement actions on future products utilizing lessons learned, early field failure analysis (EFFA) findings, field, and factory data analysis. Develop and drive test correlation, metrology systems, sampling methods, and cosmetics requirements using correlation studies, acceptable quality limit (AQL), and measurement system analysis. Lead process failure modes and effects analysis (FMEA) on new technologies and manufacturing processes. Lead technical failure analysis to support root cause analysis and issue resolution. Bring up capable suppliers which can execute at a high level on an ongoing basis. Establish quality monitoring mechanisms, including SPC, CPK, control plan, and sampling, which generate meaningful metrics providing an indication of incoming (IQC) and outgoing quality (OQC) at all nodes in the supply chain. Enable mass production capable manufacturing processes through objective measurement and analysis of production line yields, quality audits, and reliability testing. Develop plans to validate new product quality at each development landmark. Develop capable suppliers that can be both technology and scaling partners by working closely with Asia-based Engineers to ensure that PQP deliverables are understood and properly implemented. International Travel Required 25%. 40 hours/week.

Requirements

Performing Statistical Analysis using JMP or Excel to drive data-driven analyses for process improvements, tool optimizations, design recommendations, quality control, correlation, and regression.
Performing Design of Experiments (DOE) for design, process, or material change validations characterizations to down select and qualify for mass production.
Using assembly process and testing methodologies to ensure product quality during new product introduction (NPI) development.
Using quality control and management tools such as CPK, SPC, control plan, PQP, and AQL to evaluate and control product and process performance throughout the manufacturing supply chain.
Performing FMEA for new design, new process risk assessment and defining test plans to de-risk.
Utilizing machine learning and AI concepts for quality image processing, data mining and reporting.
Creating quality sampling plan by looking at different sampling methods, AQL, cost, supply node data, and assessing user impact.

Responsibilities

Ensure product quality during the pre-launch development cycle by generating and implementing the Product Quality Plan (PQP) for products.
Drive quality improvement actions on future products utilizing lessons learned, early field failure analysis (EFFA) findings, field, and factory data analysis.
Develop and drive test correlation, metrology systems, sampling methods, and cosmetics requirements using correlation studies, acceptable quality limit (AQL), and measurement system analysis.
Lead process failure modes and effects analysis (FMEA) on new technologies and manufacturing processes.
Lead technical failure analysis to support root cause analysis and issue resolution.
Bring up capable suppliers which can execute at a high level on an ongoing basis.
Establish quality monitoring mechanisms, including SPC, CPK, control plan, and sampling, which generate meaningful metrics providing an indication of incoming (IQC) and outgoing quality (OQC) at all nodes in the supply chain.
Enable mass production capable manufacturing processes through objective measurement and analysis of production line yields, quality audits, and reliability testing.
Develop plans to validate new product quality at each development landmark.
Develop capable suppliers that can be both technology and scaling partners by working closely with Asia-based Engineers to ensure that PQP deliverables are understood and properly implemented.