Silicon Validation & AI/ML Architect

Overview

• 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.
• More information about NXP in India..