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The College of Education at The University of Texas at Austin

Yield Enhancement Engineer

The College of Education at The University of Texas at Austin

Yield Enhancement Engineer focusing on yield improvement and defect reduction in semiconductor manufacturing. Collaborating cross-functionally and utilizing analytical methodologies for process optimization.

Posted 6/24/2026full-timeAustin • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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.

Benefits

Comp & perks
  • Competitive health benefits (employee premiums covered at 100%, family premiums at 50%)
  • Voluntary Vision, Dental, Life, and Disability insurance options
  • Generous paid vacation, sick time, and holidays
  • Teachers Retirement System of Texas, a defined benefit retirement plan, with 8.25% employer matching funds
  • Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b)
  • Flexible spending account options for medical and childcare expenses
  • Robust free training access through LinkedIn Learning plus professional conference opportunities
  • Tuition assistance
  • Expansive employee discount program including athletic tickets
  • Free access to UT Austin's libraries and museums with staff ID card
  • Free rides on all UT Shuttle and Austin CapMetro buses with staff ID card

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
yield improvementprocess integrationroot cause analysisstatistical methodologiesdefect reductionprocess control strategiesfailure analysistechnical documentationdata analysissemiconductor fabrication
Soft Skills
problem-solvingcross-functional communication