Performance Optimization Manager

2 weeks ago

Nashik, Maharashtra, India beBeeManagement Full time ₹ 1,49,99,999 - ₹ 1,99,99,999

Tata Electronics is a greenfield venture of the Tata Group with expertise in manufacturing precision components.

This facility will produce chips for applications such as power management IC, display drivers, microcontrollers (MCU) and high-performance computing logic.

The Tata Group operates in more than 100 countries across six continents, with the mission 'to improve the quality of life of communities we serve globally.'

Responsibilities:

  • Lead the Yield Management team for a 300mm Wafer Fab.
  • Partner with Digital/IT teams for design and development of Yield Management software and Database
  • Design a Data Integration framework that collects data from different sources.
  • Yield Analysis Tools: Develop algorithms for data analysis to enable root cause understanding and yield optimization
  • Partner with PI/YE, CFM teams and vendors to enable continuous system improvements
  • Automation & Reporting: Generate Automated yield reports.
  • Cross-Functional Collaboration: Work with Product Engineering and Process Integration teams to get requirements to build software to support yield management.
  • Ensure reliability and scalability of the software for high volume data.
  • Present updates to internal and customer senior executives.

Essential Attributes:

  • Self-driven, independent, and results-oriented.
  • Strong cross-functional collaboration skills across global teams.
  • Continuous learning mindset
  • Curious, data-driven, and resilient problem-solver.
  • Open, humble, and relationship-focused communicator.
  • Creative and agile in exploring new ideas and adapting to change.

Qualifications:

  • Bachelor's degree in electrical engineering, computer science or equivalent; advanced degree preferred.
  • Experience in data analysis, failure/defect analysis and yield improvement.
  • Understanding of device physics, process integration, yield improvement, failure mechanisms.
  • Familiarity with statistical techniques and data visualization techniques.
  • Familiarity with operations dashboards.
  • Familiarity with process modules and metrology/defect inspection tools.
  • Familiarity with AI/ML basics.

Desired Experience:

  • 10+ years' experience in the semiconductor industry with specific experience in E-test / Wafer Sort.
  • Proven structured problem-solving skills using 8D methods.
  • Programming and managing E-test systems.
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