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Jobs or company...
T

Semiconductor Fab Process SME

$ 140 - $ 144,001 / month
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Job Description

Responsibilities:

  • Serve as a subject matter expert (SME) for semiconductor fabrication processes, including lithography, etching, deposition (CVD/PVD), CMP, diffusion, ion implantation, and metrology.
  • Develop and implement process improvement strategies to enhance yield, throughput, and defect reduction.
  • Drive advanced process control (APC) and statistical process control (SPC) methodologies for process optimization.
  • Analyze process variation and defects using FDC (Fault Detection and Classification) and DOE (Design of Experiments) techniques.
  • Work with AI/ML teams to implement predictive analytics and machine learning for defect prevention and process control.
  • Support SECS/GEM and EDA integration for smart fab automation and real-time data monitoring.
  • Collaborate with R&D, IT, and automation teams to implement Industry 4.0 and smart manufacturing solutions.

Qualifications & Skills:

Education:Master's or Ph.D. in Materials Science, Chemical Engineering, Electrical Engineering, or a related field.

Experience:7+ years in semiconductor manufacturing, process engineering, or a related SME role.

Technical Expertise:

  • Advanced knowledge of semiconductor physics, process modeling, and failure analysis.
  • Experience with lithography (DUV/EUV), plasma etching, ALD/CVD/PVD, and wafer bonding.
  • Understanding of AI/ML applications in process optimization and predictive maintenance.
  • Hands-on experience with yield improvement, defect analysis, and root cause investigations.

Job Description

Responsibilities:

  • Serve as a subject matter expert (SME) for semiconductor fabrication processes, including lithography, etching, deposition (CVD/PVD), CMP, diffusion, ion implantation, and metrology.
  • Develop and implement process improvement strategies to enhance yield, throughput, and defect reduction.
  • Drive advanced process control (APC) and statistical process control (SPC) methodologies for process optimization.
  • Analyze process variation and defects using FDC (Fault Detection and Classification) and DOE (Design of Experiments) techniques.
  • Work with AI/ML teams to implement predictive analytics and machine learning for defect prevention and process control.
  • Support SECS/GEM and EDA integration for smart fab automation and real-time data monitoring.
  • Collaborate with R&D, IT, and automation teams to implement Industry 4.0 and smart manufacturing solutions.

Qualifications & Skills:

Education:Master's or Ph.D. in Materials Science, Chemical Engineering, Electrical Engineering, or a related field.

Experience:7+ years in semiconductor manufacturing, process engineering, or a related SME role.

Technical Expertise:

  • Advanced knowledge of semiconductor physics, process modeling, and failure analysis.
  • Experience with lithography (DUV/EUV), plasma etching, ALD/CVD/PVD, and wafer bonding.
  • Understanding of AI/ML applications in process optimization and predictive maintenance.
  • Hands-on experience with yield improvement, defect analysis, and root cause investigations.