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

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