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Cleans Process Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Samsung Semiconductor
Full Time position
Listed on 2025-12-16
Job specializations:
  • Engineering
    Process Engineer, Manufacturing Engineer, Electrical Engineering
  • Manufacturing / Production
    Manufacturing Engineer, Electrical Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Cleans Process Engineer - Days

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.

Position Summary

The fab engineering group at Samsung Austin Semiconductor is looking to hire a process engineer. In this role you will work alongside a talented team of professionals focusing on establishing and maintaining world‑class process/equipment and implementing yield enhancement as a competitive advantage. You will identify complex problems and implement solutions.

Role And Responsibilities
  • Monitoring the wafer fabrication process by responding to in‑line issues and dispositions of production wafers
  • Qualifying the wafer fabrication processes on new tools
  • Coordinating the scheduling of process qualifications and equipment downtime with manufacturing or equipment engineering
  • Using software to analyze data, identify trends and make decisions about processing product
  • Making adjustments when process parameters are exceeded and monitoring process parameters when tools return from maintenance
  • Executing in‑line changes (CPM) to the process or equipment
  • Communicating technical information within the department through presentations
  • Continuously revising Standard Operating Procedures (SOPs)
  • Developing improved processes to increase capability
Skills And Qualifications
  • 2+ years prior work experience
  • BS or MS in Chemical, Mechanical, Electrical, or Industrial Engineering, Physics, Chemistry, Material Science, or Computer Science
  • Experience scripting in Python, VBA, or equivalent language
  • Understanding of statistical methods
  • Experience with Change Point Management and Lean, TPS, or 5S principles
  • Experience with Structured Problem Solving (8D, 7‑step, etc.)
  • Experience with software data analysis tools (Spotfire, JMP, Matlab, etc.)
  • Ability to troubleshoot equipment or process failure
  • Ability to wear a clean‑room suit and PPE per the SAS FAB protocol and ability to lift
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