Principal Engineer, Automated Derivatives

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

+ **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, a...