Silicon Validation & AI/ML Architect

• M.S./M.Tech/Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, or related field.
• 10+ 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.

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.

Validation Transformation

• Experience applying AI/ML to:
  • Failure analysis
  • Root-cause prediction
  • Test optimization
  • Coverage analysis
  • Engineering productivity
• Knowledge of Digital Twin technologies and model-based validation approaches.
• Ability to define and execute an AI-first validation strategy.