Renesas Electronics Logo

Renesas Electronics

Principal Engineer, Automated Derivatives

Posted 9 Days Ago
Be an Early Applicant
Hybrid
Austin, TX, USA
Expert/Leader
Hybrid
Austin, TX, USA
Expert/Leader
Lead the delivery of derivative SoCs by integrating AI in RTL design, verification, and physical implementation for faster outcomes.
The summary above was generated by AI
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.

Similar Jobs

52 Minutes Ago
Hybrid
122K-153K Annually
Senior level
122K-153K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
As a Manager in Workforce Management, you will lead a team to optimize supply and demand processes for contact center operations, collaborating with various stakeholders and driving process improvements.
Top Skills: AlvariaAspectCalabrioGoogle SuiteMS OfficeNice
52 Minutes Ago
Hybrid
150K-205K Annually
Mid level
150K-205K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
The role involves managing product strategies for developer experience, improving developer productivity through tools and automation, and collaborating with teams to deliver quality solutions.
Top Skills: Ci/CdDevOpsProduct ManagementSoftware Development Life CycleTest Automation
52 Minutes Ago
Hybrid
209K-239K Annually
Senior level
209K-239K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The role involves leading software engineering projects, mentoring developers, collaborating with product managers, and delivering cloud-based solutions in a fast-paced environment.
Top Skills: AWSCSSDockerGoHTMLJavaJavaScriptKubernetesNoSQLOpen Source RdbmsPythonSQLTypescript

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account