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Product Quality Engineer

3-5 Years
SGD 4,000 - 7,000 per month
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Job Description

Responsibilities:

  • Focus on silicon photonics chip yield improvement, be responsible for yield-related quality control in the design stage, participate in reviews, identify design-end yield risks and put forward optimization suggestions.
  • Lead yield control in the NPI process, formulate test and verification plans, dock with each production station to ensure controllable trial production yield and lay the foundation for mass production.
  • Optimize product design specifications and quality standards, match production processes with yield improvement needs, and reduce design-related yield loss.
  • Track yield and quality data during trial production and initial mass production, analyze low yield issues related to design, promote design improvement, and continuously improve product yield.
  • Cooperate with FA, PQE and other positions to analyze design-related failure cases affecting yield, output and track improvement plans, and reduce yield loss.
  • Participate in quality and yield reviews, summarize design-end yield data, summarize improvement rules, and promote continuous optimization of product design.
  • Any other ad-hoc tasks as assigned.

Requirements:

  • Minimum Bachelor's Degree in Electronic Engineering or related majors
  • Minimum 3 years of silicon photonics/semiconductor design quality experience, yield improvement experience is preferred.
  • Familiar with silicon photonics chip design principles and manufacturing processes, master tools such as DFMEA and DOE, with strong yield analysis and design optimization capabilities.
  • Participated in the whole NPI process of silicon photonics chips, able to independently formulate design quality control plans based on yield improvement.
  • Strong communication and coordination skills, able to cooperate with various departments to promote yield improvement at the design level.
  • Familiar with ISO9001 system, with good English proficiency to understand design and yield-related documents

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Job ID: 146573679

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