AI/ML for Analog Validation

• Develop AI/ML solutions for:
  • Anomaly detection in characterization data
  • Automated failure clustering
  • Root-cause prediction
  • Outlier identification
  • Trend analysis across silicon generations
  • Apply machine learning techniques to:
    • Predict silicon performance variations
    • Identify manufacturing and process-related anomalies
    • Optimize validation coverage
    • Accelerate debug cycles
  • Build intelligent dashboards and predictive analytics tools supporting validation teams.

Job Qualification:

• Bachelor’s or Master’s degree in Electrical/Electronics/Computer Engineering (or related).

• 7+ years of experience in semiconductor validation (analog), product engineering, or silicon debug.

• Strong hands-on background in:

  • MCU architectures

  • Embedded systems

  • Lab bring-up and silicon debug tools (JTAG, logic analyzers, scopes, etc.