Director of AI/ML Engineering (EDA & Semiconductor Design)

Job Description In this role, you will lead the definition and execution of AI/ML-driven initiatives, drive adoption of ML/AI across frontend and backend design and development flows across the company, enable next-generation intelligent design automation capabilities, and collaborate with cross-functional leaders to integrate AI into engineering productivity, automation, and decision-making processes. Job Responsibilities - Define and own the AI/ML strategy for Engineering group’s software and design flows - Lead the transformation of semiconductor design workflows by deploying AI-driven (agentic) solutions across Frontend (modelling, synthesis, optimization) and Backend (place-and-route, timing closure, physical optimization) - Drive end-to-end integration of AI into engineering toolchains - Establish scalable frameworks for: - Data collection, labelling, and pipeline management - Model training/fine tuning, validation, and deployment - Lead cross-functional collaboration with: - EDA, design, architecture, and platform teams - External vendors and partners as needed - Build and grow a high-performance engineering team - Define KPIs to measure productivity gains, quality improvements, and ROI from AI initiatives - Ensure alignment with enterprise AI programs and governance frameworks - Drive continuous innovation and adoption of emerging AI/ML technologies in semiconductor workflows