NVIDIA
AI hardware
SeniorP&RMethodologyArchitect
“Senior P&R Methodology Architect at NVIDIA. Skills: RTL2GDS flow architecture, physical design methodology, EDA tool expertise, Python, Perl, TCL scripting, AI/ML application in physical design. Define and own the next generation RTL2GDS flow for advanced nodes (3nm and below) and high performance GPU, CPU and SoC designs. Working directly with core P&R engine developers to define real‑world optimization problems, shape requirements and roadmaps, and provide detailed feedback on engine behavior,”
What You'll Achieve.
define and own the next generation RTL2GDS flow; rolling out next‑gen flows; consolidating ad‑hoc solutions into scalable, maintainable frameworks; driving aggressive PPA and schedule targets; adoption of new tools and flows across the company
Industry & Context.
problem‑solving skills; simplifying complex, cluttered environments; modernizing legacy tools and processes; deep root‑cause analysis on QoR issues; driving methodologies to resolve the ‘long tail’ of timing closure and performance limiters
What They're Looking For.
Must Have
8+ years physical design experience, deep expertise in industry standard tools like ICC2/Innovus, PrimeTime/Tempus, etc., Extensive hands‑on P&R experience taking complex blocks or chips to tape‑out with aggressive PPA targets, Proven skills in Python, Perl, and TCL flow development, problem‑solving skills and self‑motivation, demonstrated by simplifying complex, cluttered environments and modernizing legacy tools and processes, Excellent communication and collaboration skills, with a track record of driving consensus and solving complex issues across distributed design, CAD, and R&D teams
Nice to Have
Experience collaborating with EDA or internal R&D teams on core engine development, co‑defining features, developing benchmarks and leading validation and deployment, Expertise in designing and automating A tests and large‑scale regressions, and analyzing large QoR datasets to understand trends and drive root‑cause analysis, Background in advanced‑node and large‑scale designs with exposure to advanced‑node challenges (DFM, variability, EM/IR, power integrity), Hands‑on experience applying AI/ML or GenAI to physical design, QoR analysis, or flow development will be a plus
What You'll Do.
Define and own the next generation RTL2GDS flow for advanced nodes (3nm and below) and high performance GPU
Working directly with core P&R engine developers to define real‑world optimization problems
shape requirements and roadmaps
and provide detailed feedback on engine behavior
Defining and rolling out next‑gen flows
including refactoring legacy flows and consolidating ad‑hoc solutions into scalable
maintainable frameworks used across multiple design teams
Designing and running rigorous A and multi‑variant experiments to compare flows
Developing Python‑based analytics and ML/GenAI techniques to mine large QoR datasets
recommend flow settings
and automate analysis
Performing deep root‑cause analysis on QoR issues across engines
and driving methodologies to resolve the ‘long tail’ of timing closure and performance limiters
Driving aggressive PPA and schedule targets and the adoption of new tools and flows across the company
How You'll Work.
Team & Collaboration
Partnering with architecture, RTL, DFT, synthesis, physical design, power, signoff, and CAD/methodology teams as a key technical leader and bridge; Collaborating with EDA or internal R&D teams on core engine development; Driving consensus and solving complex issues across distributed design, CAD, and R&D teams
Communication Scope
Excellent communication skills; track record of driving consensus
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