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Jobs or company...

Semiconductor Fab Process SME

$ 8,000 - $ 12,000 / month
Checking job availability...
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Simplified

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.

EA Number: 11C4879

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.

EA Number: 11C4879