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Renesas Electronics

Principal Engineer, Automated Derivatives

Posted Yesterday
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Hybrid
Austin, TX, USA
Expert/Leader
Hybrid
Austin, TX, USA
Expert/Leader
Lead the delivery of derivative SoCs, focusing on RTL design, functional verification, and implementation using AI and ML for automation and optimization.
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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, 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.

2. 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.

3. 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.

Additional Information

Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power.
 
With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’     
 
At Renesas, you can: 

  • Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.  
  • Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. 
  • Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.    

Are you ready to own your success and make your mark?  

Join Renesas. Shape Your Future with Us.  

Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law. For more information, please read our Diversity & Inclusion Statement.

Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.

We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation, collaboration and continuous learning.

Top Skills

Git
Gitlab
Icc2
Innovus
Jenkins
Python
Systemverilog
Tcl
Uvm
Vcs
Xcelium

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