Senior CAD Engineer - Floor Plan

About This Role

• We are seeking a highly motivated Senior CAD Engineer for CPU IP Design Planning Methodology and Automation to support, maintain, enhance, and deploy Design Planning and RTL to Floorplan methodologies for next generation CPU IP development.
• The successful candidate will work closely with CPU Physical Design, Architecture, RTL, and CAD teams to enable efficient and scalable Design Planning workflows.
• This role focuses on methodology development, flow support, automation, infrastructure maintenance, and productivity improvements across multiple CPU programs.
• The ideal candidate combines a strong understanding of Physical Design and Design Planning concepts with expertise in CAD methodologies, EDA tools, scripting, and software development.
• Key Responsibilities -Own and support Design Planning and RTL to Floorplan methodology deployment across CPU IP programs. -Develop, maintain, and enhance automation frameworks supporting RTL to Floorplan, Design Planning, physical aware RTL analysis, floorplan generation flows, PPA estimation methodologies, and early congestion and routability analysis. -Provide technical support to Physical Design teams by debugging flow, tool, and methodology issues. -Drive continuous improvements in Design Planning flow quality, robustness, scalability, and usability. -Develop automation solutions to improve engineering productivity and reduce manual effort. -Create dashboards, reporting infrastructure, and analytics frameworks to track methodology health, usage, and quality metrics. -Work closely with implementation teams to identify workflow bottlenecks and deploy automation based solutions. -Support the adoption and deployment of new EDA tool capabilities, releases, and methodology enhancements. -Enable methodology correlation and consistency across CPU IP projects and technology nodes. -Partner with internal CAD organizations and EDA vendors to evaluate and integrate new Design Planning capabilities. -Drive best practices, documentation, training materials, and user support for Design Planning methodologies. -Explore Machine Learning, Generative AI, and Agentic AI solutions to improve methodology deployment, flow debugging, and productivity.