Cleans Equipment Engineering Technician

5 Minutes ago • 5 Years +
Facility Management

Job Description

Equipment Engineering Technician responsible for Cleans in a high-volume manufacturing facility. The position focuses on identifying and reducing recurrent machine faults, improving tool utilization and availability, reducing defectivity, and supporting development activities. Key responsibilities include developing specifications, training technicians, improving cost performance, and qualifying new equipment and parts.
Good To Have:
  • 5+ years previous applicable high volume semiconductor manufacturing experience
  • Experience on Wet Benches (SCP9400, Screen WS-820L)
  • Experience on Cleaning Systems (Semitool SST, SAT Raider, Screen 80B/Nanospray)
Must Have:
  • Identification and reduction of recurrent machine faults
  • Reduce defectivity
  • Developing and writing specifications
  • Improving tool utilization and availability
  • Train technicians and peers
  • Improve cost performance
  • Specify, source, and qualify new equipment and parts
  • Participate on and/or lead cross functional teams
  • Support development and transfer activities
  • Ability to work in a high volume 24x7 manufacturing environment
  • Associate degree or higher in engineering or science or comparable work experience
  • Ability to generate, analyze, and interpret equipment and process performance data
  • Strong problem-solving skills
  • Strong verbal and written communication skills
  • Good knowledge of Diffusion/Cleans processes and equipment
  • Good knowledge of Statistical Process Control (SPC)
  • Good knowledge of Fault Detection and Classification (FDC)
  • Good knowledge of Lean principles and Lean Manufacturing techniques
  • Good knowledge of FMEA’s and 8D methodologies

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Equipment Engineering Technician responsible for Cleans in a high-volume manufacturing facility. The position will be responsible for but not limited to the following:

  • Identification and reduction of recurrent machine faults
  • Reduce defectivity
  • Developing and writing specifications
  • Improving tool utilization and availability
  • Train technicians and peers
  • Improve cost performance
  • Specify, source, and qualify new equipment and parts
  • Participate on and/or lead cross functional teams
  • Support development and transfer activities
  • Reducing cost
  • Reducing scrap / Improving yield
  • Reducing cycle time
  • Improving tool utilization and availability

Key Challenges:

  • Ability to work in a high volume 24x7 manufacturing environment
  • Ability to work individually, in small work groups or larger teams
  • Ability to deal with multiple issues and shifting priorities
  • Must be self-motivated; able to take initiative, self-generate projects, and effectively prioritize work
  • Willing to adjust work schedule as needed to support factory priorities 24x7
  • Be responsible for multiple tools across multiple platforms

Cross functional aspects:

  • Work with Maintenance, Manufacturing, Facilities, Analytical Laboratory and Device Engineering Teams
  • Work with peers in other factories to implement Best Known Methods (BKM’s)

Job Qualifications:

  • Associate degree or higher in engineering or science is required or comparable number of years of work experience
  • 5+ years previous applicable high volume semiconductor manufacturing experience is desirable
  • Previous experience on a combination of the following processes/equipment is highly desirable
  • Wet Benches - SCP9400, Screen WS-820L,
  • Cleaning Systems – Semitool SST, SAT Raider, Screen 80B/Nanospray
  • Ability to generate, analyze, and interpret equipment and process performance data and produce a timely action plan to resolve recurring failures
  • Strong problem-solving skills
  • Strong verbal and written communication skills
  • A desire to work in a team environment and to create a positive work environment
  • Good knowledge of Diffusion/Cleans processes and equipment
  • Good knowledge of Statistical Process Control (SPC)
  • Good knowledge of Fault Detection and Classification (FDC)
  • Good knowledge of Lean principles and Lean Manufacturing techniques
  • Good knowledge of FMEA’s and 8D methodologies

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