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Yield Enhancement Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • Engineering
    Quality Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 140000 USD Yearly USD 90000.00 140000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Analyze electrical, inline, defectivity, and reliability data to identify yield loss mechanisms and drive corrective actions.
  • Develop and execute yield improvement plans for NPI and high-volume manufacturing products.
  • Perform process integration studies across lithography, etch, deposition, CMP, plating, cleaning, and metrology modules.
  • Correlate process parameters with yield, reliability, and device performance metrics.
  • Drive root‑cause analysis using DOE, SPC, Pareto analysis, FMEA, and statistical methodologies.
  • Support technology transfer from development to manufacturing with stable process windows and manufacturability improvements.
  • Work closely with process, equipment, quality, product, reliability, and customer teams to resolve technical issues.
  • Monitor excursion trends and establish preventive actions to improve process robustness.
  • Define process‑control strategies, specifications, and yield monitoring methodologies.
  • Participate in failure analysis reviews and develop containment/corrective action plans.
  • Support customer qualification activities and technical discussions.
  • Generate technical reports, presentations, and documentation for management and customers.
Requirements
  • Bachelor’s degree in Materials Science, Chemical Engineering, Electrical Engineering, Physics, or related field.
  • 3 years of semiconductor Process Integration or Yield Engineering experience.
  • Strong understanding of semiconductor fabrication or advanced packaging process flows.
  • Experience with statistical data analysis tools such as JMP, Minitab, Python, or Excel.
  • Knowledge of SPC, DOE, Cp/Cpk, yield analysis, and defect reduction methodologies.
  • Familiarity with electrical test data analysis and inline metrology correlation.
  • Experience supporting NPI and high‑volume manufacturing environments.
  • Strong problem‑solving and cross‑functional communication skills.
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