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Product Engineer/光模块产品工程师

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Onsite

Product Engineer/光模块产品工程师

高意科技有限公司

Product Engineer/光模块产品工程师

Skills

RData AnalysisProcess ImprovementCompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

Fuzhou, Fujian, China

Work mode:

Onsite

Published on:

12 August 2026

What they need


该职位来源于猎聘 Job Responsibility: Product Cost Optimization (35%)

  • Continuously review and optimize manufacturing processes, and develop innovative, intelligent workflows to reduce labor hours and cycle time.
  • Drive down product BOM cost through robust process engineering, validation and introduction of new materials, and reduction of material scrap, thereby enhancing overall product competitiveness.
  • Consistently improve First Pass Yield (FPY) and material utilization rates to meet quality targets and achieve cost reduction objectives. Product Maintenance & Failure Resolution (25%)
  • Demonstrate deep expertise in assigned product technologies and lead failure analysis based on scientific principles.
  • Execute proficient Root Cause Analysis (RCA) utilizing advanced engineering tools including Design of Experiments (DoE), Fishbone Diagram, 5 Whys, and Six Sigma methodologies to identify underlying failure drivers.
  • Develop and implement effective Corrective and Preventive Actions (CAPA) to eliminate recurrence of failures.
  • Update and maintain critical process documentation including Work Instructions, Quality Control Plans (QCP), and FMEAs post-PCP, and revise them based on RCA findings and process improvements.
  • Train production operators to ensure strict compliance with established process standards. New Product Introduction (NPI) Support (20%)
  • Provide DFX (Design for X) support during the early product lifecycle to enhance design for manufacturability and reliability.
  • Conduct comprehensive pre-PCP process audits to validate and incorporate lessons learned from new product development.
  • Partner with NPI, R&D, and Engineering teams to provide critical PE support, ensuring seamless transition of new projects to Mass Production (MP).
  • Analyze customer requirements and collaborate with Sales, PLM, R&D, and NPI teams to develop competitive technical proposals and pricing strategies.
  • Enhance production reliability by implementing process improvements based on lessons learned and RCA outcomes.
  • Lead RMA failure analysis, generate detailed Failure Analysis (FA) reports, and provide clear rework instructions. Product Reliability Enhancement (10%)
  • Drive production reliability improvements through targeted process optimizations based on lessons learned and RCA findings.
  • Lead RMA failure analysis initiatives, produce comprehensive FA reports, and define effective rework protocols. Customer Engagement & Support (10%)
  • Deliver high-level technical support to customers and act as the primary technical lead for customer audits and site visits. Job Requirements:
  • Bachelor’s degree or above in Optics, Telecommunications, Physics, Electronics, Photonics, Mechanics, Automation, or a closely related technical discipline. Master’s degree is preferred; PhD is preferred for Automation-related roles.
  • Minimum 3+ years of progressive work experience in the Optical Communications / Electronics Manufacturing industry or equivalent.
  • Prior experience in Product Engineering is highly desirable.
  • Proven track record in EDFA, ILS (System Product), OCM, Yield Enhancement, and Cost Reduction initiatives. Strong capability to lead complex product failure investigations and execute thorough Root Cause Analysis.
  • Solid project management skills to effectively track project progress and facilitate timely resolution of project gating issues.
  • Fluent in English (CET-6 or equivalent) with excellent listening, speaking, reading, and writing proficiency.
  • Strong grasp of optical theories, enabling the formulation of testable hypotheses based on experimental observations and data analysis.
  • Proficiency in utilizing quality analysis tools, specifically Minitab for Design of Experiments (DoE), Pareto-based yield analysis, and Statistical Process Control (SPC) monitoring.

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