Principal Engineer, Automated Derivatives

Renesas Electronics - Austin, TX

Hiring: Principal Engineer, Automated Derivatives Company: Renesas Electronics Location: Austin, TX Job Posted Time: 2026-09-10 10:55:47 Target Skills & Keywords : Agile, CI/CD, Derivatives, Embedded Systems, Git, GitLab, Jenkins, Machine Learning, Python, R, SystemVerilog About the job Experience: •For RTL design and UVM for functional verification. •Solid understanding of Synthesis, P&R, and STA (Static Timing Analysis) to ensure RTL is physically realisable. Required Skills: •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. •Use ML-based predictors to evaluate RTL code for timing and congestion bottlenecks before synthesis, reducing the number of "RTL-to-GDS" iterations. •Develop scripts and Generative AI prompts to automate the creation of RTL wrappers, memory maps, and bus interconnects for design variants. •Employ AI to identify redundant logic or clock-gating opportunities to hit aggressive power targets in derivative designs. •Build AI-driven verification environments that automatically adjust constraints and coverage goals when a design derivative (e.g., changed cache size or port count) is instantiated. •Use ML to prioritize test cases that are most likely to fail based on historical RTL changes, slashing simulation time and compute costs. Qualifications: •Minimum of a Master’s degree in Electrical Engineering, Computer Science, or Computer Engineering. Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!