Wafer Fab Process Engineer

Advanced Fiber Resources

Milano

In loco

EUR 55.000 - 90.000

Tempo pieno

10 giorni fa
Generatore di candidature

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Descrizione del lavoro

Advanced Fiber Resources is seeking a Wafer Fab Process Engineer to support process characterization and optimization across core wafers-chips fabrication technologies.

The role includes Device & Product Configuration responsibilities—managing product definitions, coordinating engineering change notices (ECNs), and ensuring full alignment between design intent, manufacturing execution, and released documentation.

Competenze

  • Bachelor’s or Master’s degree in Engineering (Electronic, Material), Physics or Chemistry.
  • Experience in wafer fab processes and manufacturing (nanotechnologies or semiconductor industry).
  • Fluent English (spoken and written).
  • Knowledge of process validation procedures and techniques (FMEA, SPC).

Mansioni

  • Supervise and support Wafer Fab manufacturing areas; develop and improve processes; ensure alignment between design and fab documentation.
  • Investigate and troubleshoot process or product issues.
  • Conduct design of experiments (DOE) to improve process capability and robustness.
  • Establish and maintain Statistical Process Control to improve yield and reduce rework.
  • Participate in qualification of new wafer fabrication equipment (IQ/OQ/PQ).
  • Coordinate with installation/maintenance for equipment upgrades and calibration.

Conoscenze

English fluency
Teamwork
Statistical tools
Microsoft Office

Formazione

Bachelor’s or Master’s in Engineering

Strumenti

IQ/OQ/PQ procedures
FMEA
Statistical methods (SPC)

Descrizione del lavoro

The candidate for Wafer Fab Process Engineer position will support process characterization and optimization across core wafers-chips fabrication technologies. The role includes Device & Product Configuration responsibilities — managing product definitions, coordinating engineering change notices (ECNs), and ensuring full alignment between design intent, manufacturing execution, and released documentation.

Job Responsibilities:
  • As Process Engineer is responsible to supervise /support Wafer Fab manufacturing areas, to develop new industrial processes and maintain / improve existing ones, collaborate and provide technical advice to R&D and manufacturing teams to guarantee product quality, product cost and manufacturing efficiency.
  • Investigate and perform troubleshooting analysis on possible process / product problems
  • Conduct Design of Experiments (DOE) to improve process capability and robustness, driving continuous improvement initiatives
  • Setup / maintain Statistical Process Control approach to improve yield and rework rate
  • Involved in qualification and acceptance of new wafer fabrication equipment, developing qualification plans, including IQ/OQ/PQ activities.
  • Liaise with installation/maintenance team and specialists for equipment upgrade and calibration
  • Work with EHS representative to ensure safe working conditions and compliance with health and safety legislation
  • Maintain and release product configuration baselines, supports in change controls, ensure traceability from design rules/PDK to fab processes, metrology plans, and test limits.
  • Responsible to release and maintain process documentation related to covered areas, specifically work instruction necessary for NPI transfer to manufacturing and for process control.
  • Perform manufacturing operators’ training
Job Requirements & Soft Skills:
  • Bachelor’s or a Master’s degree in an Engineering discipline (Electronic, Material), Physics or Chemistry
  • Experience in wafer fab processes and manufacturing (nanotechnologies or semiconductor industry)
  • Good attitude to team working and proactively interact with all function and levels
  • Fluent English (spoken and written)
  • Knowledge of process validation procedures and techniques, e.g. process and product FMEA, basic six sigma concepts like capability studies and SPC is a plus
  • Competent with Microsoft Office applications and statistical tools
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