Position Details
About this role
This role involves developing AI/ML models to analyze silicon failure data, predict yield issues, and improve manufacturing processes for advanced semiconductor devices.
Key Responsibilities
- Develop ML models for failure classification
- Analyze failure data
- Collaborate with manufacturing teams
- Implement predictive yield models
- Debug silicon failures
Technical Overview
The position requires expertise in ASIC design, scan compression, BIST, ATPG, and applying machine learning techniques using Python, TensorFlow, and PyTorch to analyze large datasets and optimize yield.
Ideal Candidate
The ideal candidate is an experienced silicon debug and yield engineer with strong expertise in AI/ML techniques applied to semiconductor manufacturing. They should have 6+ years of experience in ASIC design, data analysis, and developing predictive models to improve yield and diagnose failures.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years in Silicon Debug or Yield Engineering, Lack of experience with AI/ML tools and techniques, No background in ASIC design or DFT, Inability to work with large data sets
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