Wafer Outgoing QA Engineer – AI-Driven Quality

TSMC - Taiwan Semiconductor Manufacturing Company Limited

Phoenix (AZ)

On-site

USD 80,000 - 110,000

Full time

14 days+
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Benefits offered by this job

Comprehensive medical, dental, and vision plans
401(k) retirement savings plan
Paid time-off programs
Paid holidays

Job summary

A leading semiconductor manufacturing company in Phoenix, Arizona is seeking a Wafer Outgoing Quality Assurance Engineer. This role involves establishing wafer inspection sites, maintaining quality control processes, and engaging in failure analysis to resolve quality issues. The ideal candidate should hold a Bachelor's degree in Engineering or Science, preferably with a Master's. Strong skills in project management and AI program development are highly valued in this position that focuses on quality improvement in a state-of-the-art facility.

Qualifications

  • Bachelor's degree in Engineering or Science is essential.
  • Master's degree is preferred.
  • Proficiency in project management methodologies required.

Responsibilities

  • Establish new outgoing wafer inspection sites.
  • Release and maintain recipes for OQA tools.
  • Perform wafer defect failure analysis.
  • Develop OQA quality improvement projects.
  • Collaborate to design solutions for yield improvement.
  • Support AI and Machine Learning in inspections.
  • Manage projects with proactive communication.
  • Adhere to safety and quality standards in a cleanroom environment.

Skills

Project management methodologies
AI program development
Machine Learning techniques
Semiconductor integration experience
Yield improvement
Defect reduction

Education

Bachelor's degree in Engineering, Science, or related field
Master's degree (preferred)

Job description

A leading semiconductor manufacturing company in Phoenix, Arizona is seeking a Wafer Outgoing Quality Assurance Engineer. This role involves establishing wafer inspection sites, maintaining quality control processes, and engaging in failure analysis to resolve quality issues. The ideal candidate should hold a Bachelor's degree in Engineering or Science, preferably with a Master's. Strong skills in project management and AI program development are highly valued in this position that focuses on quality improvement in a state-of-the-art facility.
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