Product Quality Engineer
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Description
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. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $170,618 - $193,800/yr and your base pay will depend on your skills, qualifications, experience, and location.
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PAY & BENEFITS: Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits: https://www.apple.com/careers/us/benefits.html.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Preferred Qualifications
N/A
Minimum Qualifications
Bachelor's degree or foreign equivalent in Electrical Engineering & Management, Mechanical Engineering, Industrial Engineering, Electrical Engineering or a related field and 5 years of progressive, post-baccalaureate experience in the job offered or related occupation.
5 years of experience with each of the following skills is required:
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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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