NPI Quality Engineer II responsible for end-to-end quality planning, risk management (DFMEA), validation, root cause analysis, and continuous improvement for WHOOP accessory products. Requires Bachelor's in Engineering, 3-5+ years NPI/quality experience in wearables/electronics, and strong cross-functional communication.
Salary not listed
On-site5+ YOEQA Engineering
About the role
Responsibilities
Own the end-to-end NPI quality operating model for accessory programs, ensuring consistent phase-based deliverables, gate criteria, and launch readiness standards.
Lead product and process risk management activities, including risk assessments, DFMEA, validation planning, and mitigation strategies to proactively identify and reduce quality risks.
Partner with cross-functional stakeholders across Accessories & Apparel, Hardware Engineering, Supply Chain, Deployment, Global Support Services, and Quality to define and deliver accessory quality requirements.
Drive root cause analysis and corrective and preventive actions for high-impact quality issues, using data-driven quality tools to prevent recurrence.
Review quality control plans and partner with Supplier Quality Engineering and manufacturing teams to support implementation for accessory products.
Develop data-driven insights, dashboards, and program reporting to guide quality decisions, track readiness, and support sustaining product quality activities.
Qualifications
Bachelor’s degree in Engineering, Mechanical Engineering, Materials Science, or a related technical field.
3–5+ years of experience in product quality, NPI quality, supplier quality, or product development quality, preferably within consumer electronics, wearable technology, wellness/fitness, medical device, or high-tech industries.
Experience supporting quality activities across NPI or product development cycles, including validation planning, launch readiness, and sustaining quality support.
Technical knowledge of accessory materials, components, and manufacturing processes, such as soft goods, metals, plastics, or wearable electronics components.
Experience with DFMEA, risk assessment methodologies, validation planning, quality control plans, and root cause analysis tools.
Strong ability to communicate quality insights and recommendations using objective data to influence cross-functional stakeholders at multiple levels of the organization.
Familiarity with ISO 9001 Quality Management System standards, statistical data analysis, Six Sigma, or ASQ Certified Quality Engineer practices preferred.
Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
Skills
dfmeaRisk Assessmentvalidation planningRoot Cause Analysisiso 9001six sigmaquality control plansstatistical data analysissupplier qualitynpi quality
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