Photo Equipment Engineer - Spinner

Samsung Electronics•Austin, TX

1d•$106,000 - $145,000•Onsite

About The Position

Samsung Austin Semiconductor is a world leader in advanced semiconductor technology, committed to innovation for next-generation technologies in areas like 5G, artificial intelligence (AI), and high-performance computing (HPC). The Photolithography department is dedicated to delivering solutions through 24x7x365 teams focused on safety and quality. As part of the Photo Equipment Engineering team, you will collaborate across organizational boundaries to support manufacturing. The Spinner Equipment Engineer will be instrumental in transferring next-generation technology, including the installation, qualification, and recipe transfer for Spinner and auxiliary equipment.

Requirements

4 years of college in related field.
5+ years of semiconductor Photo or Cleans equipment ownership.
In-depth experience on one or more of the following types of semiconductor equipment: SEMES, TEL, Screen.
Understanding of semiconductor wafer processing fundamentals and photolithography.
Familiarity with SPC, FMEA, FDC, yield analysis and other standard engineering and manufacturing practices.
Ability to travel internationally as needed.

Responsibilities

Performing Spinner and auxiliary equipment installation, including hardware and product qualification.
Creating next generation technology node transfer including recipes, SOPs, BKMs.
Attending and contributing in daily tactical meetings with vendors and internal teams about photolithography equipment; and attending weekly meetings with vendors and internal teams including strategic cross-functional meetings regarding equipment metrics and contribute to department and sites improvement plans.
Coordinating Samsung internal, external and multiple vendor resources to provide optimum manufacturing support on assigned equipment.
Investigating, troubleshooting and providing technical solutions to equipment related defect, quality and yield problems.
Analyzing and reporting tool performance data, including availability, mean time to repair, mean time between failures, particle and defect trends, maintenance success, and similar metrics for assigned equipment.
Providing weekend coverage as needed (~ 12 weeks a year). You will be responsible for multiple tools on the weekend larger than your normal scope and required to make tactical decisions based on your assessment of the daily operations environment in order to successfully achieve KPI.