Core Technologies Quality Engineer

Sunnyvale, California, United States$133,500 - $246,2005+ years

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The people here at Apple don’t just build products — they craft the kind of wonder that’s revolutionized entire industries! It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! At Apple, Quality is one of the cornerstones of what makes our products and technologies phenomenal. Our teams are responsible for ensuring our customers receive the high quality and reliability they expect. We are seeking a Quality Engineer with strong data fluency—skilled in Python, Tableau, and applied AI workflows—to help scale quality processes in high-complexity, high-volume manufacturing. This role bridges traditional quality engineering skills with emerging AI-driven workflows, ensuring factory intelligence is applied in the real world to deliver measurable improvements in speed, accuracy, and decision-making.

Core Technology Quality Engineers are responsible for driving quality improvement actions on future products. They enable a mass production capable manufacturing processes and develop plans to validate / verify new product quality at each development landmark. They approach problems in an engineering method and make data driven decision. Quality Engineers also bring up capable suppliers that can execute at a high level on an ongoing basis. This role requires an engineering mentality paired with data fluency and applied AI experimentation. You’ll leverage Python for analysis, use Tableau to visualize key performance indicators and build text-driven workflows that help engineers interpret, act on, and communicate quality data more efficiently. This is a Quality Engineering role first, with AI as a force multiplier. You won’t be developing AI models from scratch — you’ll be integrating them into real-world factory workflows to scale Apple’s quality systems with clarity, speed, and measurable impact.

Identify and drive quality improvement opportunities in future products
Lead Process FMEAs on new technologies and manufacturing processes
Conduct technical failure analysis to support root cause investigations
Generate and implement Product Quality Plans (PQPs)
Establish quality monitoring mechanisms and metrics across the supply chain
Build and maintain Python-based tools for data automation, transformation, and visualization
Create Tableau dashboards for trend detection, anomaly flagging, and performance tracking
Apply prompt engineering to design AI-powered workflows for smart search, RCA lookup, report summarization, and supplier interaction
Pilot and refine agentic AI workflows that support test correlation, post-build analysis, and issue triage
Ensure data foundations (ownership, labeling, quality) are established and maintained for manufacturability and analysis
Collaborate with the in-house software/ML Ops team to validate and iterate on AI and automation concepts
Gather and synthesize user feedback to continuously improve tool usability and adoption
Travel internationally up to 25%

Bachelors in Mechanical, Electrical, Materials Science, Industrial Engineering or a related field
5+ years of proven experience in high-volume manufacturing, quality engineering, or development of consumer electronics or components

MS or PhD in Mechanical, Electrical, Materials Science or Industrial Engineering or equivalent
Experience using Python for engineering analysis and workflow automation
Familiarity with Data visualization tools such as Tableau or Power BI
Prompt design for AI-assisted workflows aimed at summarizing technical information
Experience working with SPC data, image inspection logs, defect classification, or reliability metrics
Ability to partner with engineering, operations, and software teams
Excellent communication and structured problem-solving skills
Familiarity with manufacturing processes for components such as cameras, optics, haptics, inductive elements, or connectors
Exposure to computer vision models or manufacturing image data
Familiarity with agentic AI frameworks and applied prompt engineering for operational tools.
Passion for real-world AI applications that enhance quality, speed, and scalability
Experience with reliability modeling, DOE, and quality systems
Interest in integrating AI-powered assistants into engineering workflows

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 $133,500 and $246,200, and your base pay will depend on your skills, qualifications, experience, and location.

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

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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