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Thin Films Engineer

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

Full Job Posting

What you'll do

  • Own deposition processes for dielectric, metal and barrier/liner films (e.g., SiN, Ti, TaN, TiW, Cu seed) on PVD or PECVD platforms.
  • Develop and optimize recipes for thickness, uniformity, stress, refractive index, step coverage, resistivity, composition and defectivity.
  • Run designed experiments (DOE) and use statistical methods to characterize process windows and set robust specs.
  • Sustain high-volume production: monitor SPC charts, respond to out-of-control events, disposition material and drive corrective actions.
  • Lead root-cause investigations into yield, reliability and defect excursions using 8D, FMEA and fishbone methods.
  • Qualify new tools, chambers, chemistries, targets and precursors, including chamber matching and fleet transfers.
  • Partner with equipment engineering on preventive maintenance, chamber seasoning and uptime improvement.
  • Support technology transfer of new nodes and device structures from R&D into manufacturing.
  • Drive cost reduction through consumable life extension, throughput gains and precursor or gas usage optimization.
  • Write and maintain process specs, control plans, OCAPs and change-control documentation.
  • Work with suppliers on hardware, materials and process issues; present results to cross-functional teams and management.
  • Own yield for assigned products or technologies, tracking line, die and final test yield against targets.
  • Run split lots and DOEs to verify fixes and quantify yield gain.

Required Qualifications

  • Bachelor's degree in Chemical Engineering, Mechanical Engineering, Materials Science, Physics or Chemistry
  • Hands-on process experience with PVD and/or PECVD in a wafer fab or advanced R&D cleanroom
  • Working knowledge of vacuum systems, plasma physics, gas-phase and surface chemistry, and film growth mechanisms.
  • 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

  • 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.
  • Background in metallization and interconnect (barrier/seed, Cu, Co, Ru) or back-end-of-line processes and integration.

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