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Implant Equipment Engineer – Anneal/Surface Treatment
Job in
Taylor, Williamson County, Texas, 76574, USA
Listed on 2026-06-19
Listing for:
Samsung Electronics Perú
Full Time
position Listed on 2026-06-19
Job specializations:
-
Engineering
Manufacturing Engineer, Quality Engineering, Process Engineer, Maintenance Technician / Mechanic
Job Description & How to Apply Below
Position Summary
In your role as an Equipment Engineer you will support equipment and process capabilities of 300mm tools for the Implant department. You will be part of a team that focuses on keeping tools running at peak efficiency and driving yield improvements, reducing defects, cutting operating costs, and implementing continuous‑improvement initiatives across a 24×7 manufacturing environment.
Role and Responsibilities- 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 downtime with the 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).
- BS degree in Electrical, Chemical, Physics, Mechanical Engineering or a 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 tools: AMAT Centura/Radiance/DPN/DPX/DSA/Ajax, Mattson Millios/Suprema/Escala, LAM Argos, Semes HPA/LOHAS, Veeco LSA.
- Experience troubleshooting Equipment or Process failures.
- Experience with tool installation and setup.
- Understanding of statistical methods.
- Structured Problem‑Solving (8D, 7‑step, etc.) ability.
- Ability to wear clean room suit and PPE, and lift
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