可靠性质量工程师

Own the reliability and quality engineering strategy and metrics (field return rate, failure rate, and quality KPIs) for all products actively out in the market or currently scaling in manufacturing, from launch through end of life, and set the bar for what good looks like across the portfolio

Drive systemic resolution of field performance issues, component obsolescence, and return-rate (RMA/warranty) optimization to root cause and corrective action, in partnership with cross-functional internal and external partners, including recurring and cross-product failure modes

Partner with and influence internal leaders and external suppliers to ensure long-term hardware field performance, and close the loop by institutionalizing lessons learned into design, NPI, and supplier processes

Define and own the field signal analytics, product health telemetry, and failure-reaction frameworks the organization relies on; set thresholds and escalation triggers for products in the field

Establish the standards, methodologies, and metrics for sustaining reliability and quality, including ongoing reliability testing (e.g., ORT), excursion/ECO assessment, post-ramp qualifications (PRQ) and change control against reliability and quality goals

Lead complex, multidisciplinary root cause analysis for reliability and quality escapes, distinguishing between design, material, manufacturing-process, and use-condition contributors, and drive corrective actions to closure

Provide Design-for-Reliability and architectural evaluations that carry field and sustaining learnings into new product categories and next-generation designs

Own the quality management system for products in sustaining; understand, analyze, and resolve field quality issues and influence internal teams to drive durable quality improvements

Translate reliability and quality data into risk assessments, reports, and positions that inform executive product and business decisions

Mentor and technically guide reliability and quality engineers across the function, raising the capability of the team

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Bachelor's degree in Mechanical, Materials, or Electrical Engineering, a relevant technical field, or equivalent practical experience

10+ years of experience in hardware reliability engineering and/or product quality for consumer electronics, wearable devices, or similar electro-mechanical products

Knowledge of mechanical design, material science, and the failure mechanisms of consumer electronics

Experience driving root cause analysis, design of experiments (DOE), and corrective action on complex hardware systems

Experience analyzing reliability data, field return, and warranty metrics to identify systemic failure trends and drive engineering corrective actions

Knowledge of failure analysis techniques and tools including optical microscopy, X-Ray, CT scan, SEM, EDX, and FTIR

Experience independently driving decisions and dependencies across multiple teams or functions in a dynamic environment

Track record of defining mission profiles and reliability/quality strategy for new product categories

Experience with data mining and data visualization to make strategic business decisions, and with Asia high-volume manufacturing and external partner relationship management

MS or higher in Mechanical Engineering, Materials Science, Electrical Engineering, or equivalent discipline

Familiarity with Weibull analysis, reliability growth modeling, and statistical reliability prediction methods

12+ years of experience, including field/sustaining reliability and post-launch product improvement for VR, AR, or wearable device product lines (display, optics, battery, sensor subsystem failure modes)

Experience with quality and statistics tools and methodology (8D, PFMEA, SPC, DOE); Certified Quality Engineer or Lean/Six Sigma Black Belt

Experience using AI tools to redesign reliability/quality data analysis workflows, accelerate failure-pattern identification, or improve reporting efficiency

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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Bachelor's degree in Mechanical, Materials, or Electrical Engineering, a relevant technical field, or equivalent practical experience.