Silicon Validation & AI/ML Architect

Education

• M.S./M.Tech/Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, or related field.

Experience

• 12+ years of semiconductor industry experience.
• Strong background in MCU, MPU, SoC, or Connectivity product development.
• Proven experience in silicon bring-up, post-silicon validation, system validation, and product qualification.
• Demonstrated leadership in driving large technical initiatives and cross-functional programs.

Silicon Validation Expertise

• Deep understanding of:
  • SoC architecture
  • Embedded systems
  • Silicon validation methodologies
  • System-level validation
  • Security and Functional Safety concepts
  • Pre-silicon (simulation, emulation, FPGA) and post-silicon validation
• Expertise in debug and root-cause analysis across hardware, firmware, and software domains.

Programming Automation

• Expert-level Python development.
• Strong C/C++ programming skills.
• Experience developing scalable validation automation frameworks.
• Knowledge of CI/CD, remote labs, cloud-based validation, and board farm infrastructures.

AI/ML Data Science

• Hands-on experience with:
  • Machine Learning
  • Deep Learning
  • Generative AI
  • Large Language Models (LLMs)
  • Agentic AI systems
  • Predictive analytics
  • Anomaly detection