[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Renesas Electronics jobs](https://jobs.opennash.com/companies/renesas-electronics/) · [Search jobs](/search/) Renesas Electronics · Austin, TX # Principal Engineer, Automated Derivatives Austin, TEXAS, United States Full-time Senior individual contributor Operations Listed on Renesas Electronics’s official careers site. Posted August 13, 2026. Check that it is still open and apply there. [Apply on Renesas Electronics’s careers site →](https://jobs.smartrecruiters.com/RenesasElectronics/744000143324059-principal-engineer-automated-derivatives) [OpenNash Jobs](https://jobs.opennash.com/) / [Renesas Electronics](https://jobs.opennash.com/companies/renesas-electronics/) / 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. ### 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, 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. ### Intelligent Verification Automated Testbench Scaling - 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. ### Smart Regression Management Use ML to prioritize test cases that are most likely to fail based on historical RTL changes, slashing simulation time and compute costs. ### Bug Prediction Deploy pattern-recognition models to identify "bug-prone" modules in the RTL based on complexity metrics and previous tape-out data. ### Rapid Physical Implementation Seamless Handoff - Ensure a "zero-friction" path from RTL to Physical Design by using AI to automatically generate floorplan constraints and timing assertions from the design spec. ### Closure Acceleration Drive the physical implementation of derivatives, using AI to "reuse" placement and routing solutions from parent designs to achieve 10x faster convergence. ## Qualifications ### Education Minimum of a Master’s degree in Electrical Engineering, Computer Science, or Computer Engineering. ### Experience 12–15 years of professional experience in the semiconductor industry, with a focus on: Full-Stack Hardware Mastery: Proficiency in SystemVerilog for RTL design and UVM for functional verification. ### Physical Design Foundation Solid understanding of Synthesis, P&R, and STA (Static Timing Analysis) to ensure RTL is physically realisable. ### ML/AI Integration Expert Python skills to build and deploy models that interface with both simulation tools (VCS, Xcelium) and implementation tools (Innovus, ICC2). ### Data-Driven Flow Dev Experience using Tcl/Python to extract "features" from simulation logs and implementation reports to train predictive models. ### Version Control & CI/CD Mastery of Git and CI/CD pipelines (Jenkins/GitLab) to manage the high-velocity deployment of design derivatives. ## At a glance - Posted by the employer: Aug 13, 2026 - First seen by OpenNash: Oct 12, 2026 - Last checked: Oct 12, 2026 - Listed for: 60 days - Location: Austin, TEXAS, United States - Employment type: Full-time[Apply on Renesas Electronics’s careers site →](https://jobs.smartrecruiters.com/RenesasElectronics/744000143324059-principal-engineer-automated-derivatives) ## More jobs at Renesas Electronics ### [AI Search & SEO Specialist](https://jobs.opennash.com/companies/renesas-electronics/jobs/29ef541e65bd041720a7/) Austin, TEXAS, United States ### [Application Engineer](https://jobs.opennash.com/companies/renesas-electronics/jobs/23a820dc0e636d90d082/) Austin, TEXAS, United States ### [Application Technology Architect – Drone & UAV Applications](https://jobs.opennash.com/companies/renesas-electronics/jobs/da0dd5ee2d8eb89c7af7/) Austin, TEXAS, United States ### [Electrical Engineer](https://jobs.opennash.com/companies/renesas-electronics/jobs/2947093f6d23a1dc6ebc/) Austin, TEXAS, United States ### [Principal Engineer, Router Architect](https://jobs.opennash.com/companies/renesas-electronics/jobs/6c76aea99afb46851a31/) Austin, TEXAS, United States ## Similar jobs at other companies ### [Electronics Engineer III, Automated Test Equipment](https://jobs.opennash.com/companies/lockheed-martin/jobs/d31f70fd19fa72cd3d6d/) Lockheed Martin · Littleton, CO, Englewood ### [Principal Electrical Engineer 3 – Automated Test Equipment (ATE)](https://jobs.opennash.com/companies/northrop-grumman/jobs/b686c6d47f328eb72a1b/) Northrop Grumman · United States-Arizona-Chandler ### [Sr. Principal Electrical Engineer 4 – Automated Test Equipment (ATE)](https://jobs.opennash.com/companies/northrop-grumman/jobs/29ef5353381a305fa543/) Northrop Grumman · United States-Arizona-Chandler ### [CDL B Driver (Automated Sideload)](https://jobs.opennash.com/companies/republic-services/jobs/5ffed00a508aaee3de73/) Republic Services · Delano, Minnesota ### [Automated Guided Vehicle Specialist](https://jobs.opennash.com/companies/deutsche-post/jobs/d17bef34724a1530eed4/) Deutsche Post · Perry, Georgia, United States of America [Jobs in Austin, TX](/locations/us/tx/austin/)[Jobs in Texas](/locations/us-tx/)[Operations jobs](/functions/operations/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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