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Yield Engineer

3D Glass Solutions
Albuquerque, USA
Full-time
Entry · 0–5 years experience
Onsite
Discovered 1 weeks ago
pythonsql

Full Job Posting

What you'll do

  • Own yield for assigned products or technologies, tracking line, die and final test yield against targets.
  • Analyze wafer sort bin maps, spatial signatures and parametric (WAT/PCM) data to isolate yield detractors.
  • Correlate electrical failures to inline defect inspection, metrology and tool history using commonality analysis.
  • Lead root cause investigations on yield excursions, then drive corrective and preventive actions with process and equipment owners.
  • Define defect inspection and review sampling plans; classify killer defects and set defect density limits.
  • Run split lots and DOEs to verify fixes and quantify yield gain.
  • Build and maintain yield models and Pareto loss charts to prioritize improvement work.
  • Automate reports and dashboards using SQL, Python or yield management software.
  • Present yield status, loss breakdowns and improvement roadmaps to fab and product leadership.

Required qualifications

  • Bachelor's degree in Chemical Engineering, Mechanical Engineering, Materials Science, Physics or Chemistry
  • Strong statistical analysis skills, including SPC, DOE, hypothesis testing and regression.
  • Proven structured problem solving, such as 8D or 5 why’s
  • Clear communication of technical findings to engineers and management.
  • Must be a US citizen

Preferred qualifications

  • Familiarity with defect inspection and review tools (brightfield, darkfield, e-beam, SEM review).
  • Understanding of device physics and parametric test structures.
  • Experience with failure analysis techniques and working with FA labs.
  • Background in new product introduction (NPI) or technology ramp to high volume.
  • Machine learning or advanced analytics applied to manufacturing data.
  • Hands-on experience analyzing large manufacturing datasets with JMP, SQL, Python or similar tools.

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