Implant Equipment Engineer – Anneal/Surface Treatment

About Samsung Austin Semiconductor Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At SAS, we are Innovating Today to Power the Devices of Tomorrow. Come innovate with us! Position Summary In your role as an Equipment Engineer you'll work to support equipment and process capabilities of 300mm tools for the Implant department. You will be a part of a team that focuses on keeping tools running at peak efficiency and drive yield improvements, reduce defects, cut operating costs, and implement continuous‑improvement initiatives across a 24×7 manufacturing environment. Role and Responsibilities Here's what you'll be responsible for: Equipment Monitoring and Troubleshooting. Observe real‑time tool performance; identify and resolve issues (mechanical, electrical, pneumatic, defects). Respond to alarms and perform recovery plans with technicians. Use software to analyze data, identify root causes, and make decisions about processing product. Lead new tool qualification. Schedule and coordinate equipment maintenance and coordinate downtime with manufacturing team. Execute Change‑Point Management (CPM). Standardization & Documentation. Revise and maintain SOPs, record daily tool activity, and capture lessons learned. Communicate technical updates via presentations to cross‑functional teams. Monitor operational costs and lead projects for cost‑reduction. Document and track performance metrics (yield, throughput, particle counts). Skills and Qualifications Here's what you'll need: BS degree in Electrical, Chemical, Physics, or Mechanical Engineering or related field of study 2+ years of semiconductor experience highly desired with knowledge of Thermal Anneal(RTP) or Surface Treatment/Dry Etch processes and equipment. Experience with any of the following tools preferred. AMAT Centura/Radiance/DPN/DPX/DSA/Ajax Mattson Millios/Suprema/Escala LAM Argos Semes HPA/LOHAS Veeco LSA Experience with troubleshooting Equipment or Process failures. Experience with tool installation and setup. Understanding of statistical methods Structured Problem-Solving (8D, 7-step, etc..) ability. Able to wear clean room suit and Personal Protective Equipment (PPE) and to lift Apply tot his job

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