Automation Engineer to join the PDK team and drive AI‑enabled automation for EDA workflows. The role will focus on building smart scripts, validation pipelines, and ML models that streamline PDK, regression, and verification activities. Develop & maintain Python‑based automation frameworks for PDK regression suites. Integrate AI/ML models (e.g., anomaly detection, rule‑generation, predictive failure analysis) into existing EDA toolchains (Calibre, Synopsys, Cadence). Create data pipelines to ingest simulation, extraction, and layout data for regression. Collaborate with PDK engineers, QA leads, to translate functional requirements into automated solutions. Document code, workflows, provide training/knowledge‑transfer sessions for internal users.