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Tier-1 brand and metro location increase competition, but senior niche silicon+ML skills moderate it.
Role requires deep semiconductor silicon-validation expertise, limiting transferability across industries.
Explicit 10+ years semiconductor experience, deep silicon validation and AI/ML expertise required.
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Own silicon bring-up, post-silicon validation, system validation, and product qualification processes for SoC and embedded systems.
Lead large technical initiatives involving cross-functional teams to advance silicon validation and AI/ML-driven validation methodologies.
Define and execute AI-first validation strategies leveraging AI/ML for failure analysis, test optimization, coverage analysis, and productivity improvement.
10+ years of semiconductor industry experience.
Advanced degree (M.S./M.Tech/Ph.D.) in Electrical Engineering, Computer Engineering, Computer Science, AI, ML, or related field.
Strong expertise in silicon validation methodologies across pre-silicon (simulation, emulation, FPGA) and post-silicon validation.
Expert-level programming in Python and strong skills in C/C++, with experience building scalable validation automation frameworks.
Experienced in MCU, MPU, SoC, or Connectivity product development with understanding of embedded systems, SoC architecture, security, and functional safety.
Practiced in debug and root-cause analysis across hardware, firmware, and software domains, comfortable with CI/CD, remote labs, cloud validation, and board farm infrastructures.
Strategic thinker capable of applying AI/ML for validation transformation including failure analysis, root-cause prediction, test optimization, and coverage analysis using Digital Twin and model-based validation.