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Leading Semiconductor Production Excellence

3 weeks ago


Alwar, Rajasthan, India beBeeSemiconductor Full time ₹ 1,50,00,000 - ₹ 1,70,00,000
Job Title: Semiconductor Production Leader

Job Summary:

Lead a team responsible for achieving exceptional semiconductor production outcomes in a 300mm Wafer Fab. Collaborate with cross-functional teams to drive excellence in production, develop algorithms for yield analysis, and implement data integration frameworks.

Key Responsibilities:

  • Drive Yield Management excellence in a 300mm Wafer Fab environment.
  • Collaborate with Digital/IT teams to design and develop software and databases ensuring seamless data integration.
  • Design Data Integration frameworks collecting insights from E-test, Defect Inspection, Inline Metrology, and Sort.
  • Develop yield analysis algorithms enabling root cause understanding and optimization.
  • Partner with Process Integration, CFM, and vendors to drive continuous system improvements.
  • Generate Automated yield reports ensuring reliability and scalability of software for high-volume data.
  • Cross-functionally collaborate with Product Engineering and Process Integration teams to obtain requirements for yield management software.

Essential Attributes:

  • Self-driven, independent, results-oriented professional.
  • Strong collaboration skills across global teams fostering open communication and relationship-building.
  • Continuous learning mindset, with a curious and resilient approach to problem-solving.
  • Effective communicator able to present updates to internal and customer senior executives.

Qualifications:

  • Minimum Bachelor's degree in electrical engineering, computer science, or equivalent advanced degree preferred.
  • Experience in data analysis, failure/defect analysis, and yield improvement preferably in the semiconductor industry.
  • Strong understanding of device physics, process integration, yield improvement, and failure mechanisms.
  • Familiarity with statistical techniques, data visualization, operations dashboards, process modules, metrology, and defect inspection tools.
  • Basic knowledge of AI/ML concepts.