Product Quality Engineer, Hardware

Meta·Shanghai, Shanghai, China | Suzhou, Jiangsu, China | Shenzhen, Guangdong Province, China·posted 1m ago · last seen 1m ago

Track this application

Get Started Free

Match score against your CV

Get Started Free

Tailor your resume to this job

Get Started Free

About interviewing at Meta

Recruiter screen, a technical screen (60-minute asynchronous challenge or paired live coding), a short culture-fit questionnaire, then a virtual onsite of about four rounds: fast-paced coding with multiple problems per round, system design scoped to level, a lighter behavioral, and an AI-enabled coding round assessing how you work with a coding assistant.

Read the full Meta interview process →

Description

About

As a Product Quality Engineer at Meta, you will take responsibility to ensure that the product produced in the manufacturing site meets the requirements defined by the team, covering product cosmetic, function, and reliability. You will take responsibility to make sure the proper quality control system is in place from incoming to shipping. You will do so by taking ownership in the product development stage to identify the potential process/product risks and work with the engineering team for risk elimination. You need to develop an efficient quality control and monitoring mechanism in the manufacturing site to make sure the deviation in the process is under control as well as the product's outgoing quality.

Responsibilities

  • Local owner of all manufacturing and product quality, Quality Systems within the CM factories
  • Lead the quality control system setup and qualification in FATP factory including the incoming material, in-process including SMT and FATP, outgoing Quality Control process, Out of Box Audit and RCCA process
  • Conduct risk assessment and closed-loop follow-up for the FATP process by coordinating the cross functional team for improvement
  • Determine Quality KPI's, quality improvement parameters by identifying statistical methods relevant to manufacturing and product quality inspection processes. Analyze data by completing hypothesis, normal distribution, and process capability analysis
  • Develop product Quality Plan, Inspection Procedures, sampling plans by applying attribute, variable, and sequential sampling methods within CM's and suppliers
  • Support Cross Functional Team during Product Development, NPI or Launch stage by providing input on product design, quality, manufacturing or reliability related issues
  • Establish statistical confidence by identifying sample size and acceptable error, and determine confidence levels to drive product production ramp readiness and shipment readiness decisions
  • Prepare reports by collecting, analyzing, and summarizing data: making recommendations back to Design, Test, Process, Manufacturing Operations for manufacturing and product continuous improvement strategy
  • Lead the combined teams (Ops, Design, CM) in corrective actions (DFMEA, FMEA) focused on product quality and customer experience improvements
  • Design, lead FATP manufacture and supplier selection qualification process and audit
  • Leading for yield improvement
  • EFFA activities: trouble shooting, completely close loop follow up

Minimum Qualifications

  • Bachelor's degree in Engineering, Quality Engineering, or relevant field
  • Technical background or a Quality or Process engineering background
  • At least 5 years of hands-on working experience in the consumer electronics industry, covering the processes from incoming to shipping
  • Familiar with DFM (design for manufacture), DFMEA, PFMEA, MSA, PPAP, SPC, and sampling plan definition
  • Ability and experience interfacing at all levels of the organization
  • Ability to articulate a vision, independent decision-making, and convey a sense of urgency
  • Ability to adapt to a diversified, fast-moving Cross Functional Team environment
  • Minimum 50% travel is required Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Ability & experience interfacing at all levels of the organization
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience working effectively in cross-functional team environments with shifting priorities and multiple concurrent workstreams
  • Ability to articulate vision, independent decision-making and convey a sense of urgency
  • CQE certification, Quality System Auditing, 6 sigma black belt
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience in high volume consumer electronics manufacturing

More engineering roles at Meta