Principal Engineer, Automated Derivatives

Job description

Job Description In this multi-disciplinary role, you will lead the end-to-end delivery of derivative SoCs , focusing on the intersection of RTL design, functional verification, and physical implementation. You will not just execute flows; you will build an AI-augmented "Silicon Factory" that uses machine learning to bridge the gap between architectural intent and GDSII. Your goal is to achieve ultra-fast turnaround times by using AI to predict physical outcomes during RTL coding and to automate the verification of design variants. Key Responsibilities: 1. AI-Augmented RTL & Architecture 2. Intelligent Verification 3. Rapid Physical Implementation - Physical-Aware RTL: Use ML-based predictors to evaluate RTL code for timing and congestion bottlenecks before synthesis, reducing the number of "RTL-to-GDS" iterations. - Derivative Generation: Develop scripts and Generative AI prompts to automate the creation of RTL wrappers, memory maps, and bus interconnects for design variants. - Logic Optimization: Employ AI to identify redundant logic or clock-gating opportunities to hit aggressive power targets in derivative designs. - Automated Testbench Scaling: Build AI-driven verification envi...