Senior RTL2GDS & P&R Methodology Architect

NVIDIA; Santa Clara (CA); Hybrid; USD 168,000 - 311,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA’s Senior P&R Methodology Architect will define and own the RTL2GDS flow for 3nm and below, partnering with core P&R engine developers to optimize QoR, scalability and performance on the world's leading AI hardware.

You’ll design and roll out next-gen flows, run rigorous A/B tests, and develop Python-based analytics and ML techniques to mine QoR data and automate analysis, while coordinating with architecture, RTL, DFT, physical design, power and CAD teams.

Qualifications

• BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
• 8+ years physical design experience with industry standard tools.
• 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.
• Strong problem-solving skills and self-motivation, demonstrated by modernizing legacy tools and processes.
• Excellent communication and collaboration across distributed teams.

Responsibilities

• 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, QoR, and scalability.
• 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/B and multi-variant experiments to compare flows, engines, and tool settings; developing Python-based analytics and ML/GenAI techniques to mine QoR datasets, recommend flow settings, and automate analysis.
• Performing deep root-cause analysis on QoR issues across engines, tools, and flows, and driving methodologies to resolve timing closure and performance limiters.
• Partnering with architecture, RTL, DFT, synthesis, physical design, power, signoff, and CAD/methodology teams as a key technical leader and bridge.
• Driving aggressive PPA and schedule targets and the adoption of new tools and flows across the company.

Skills

Python

Perl

TCL flow development

Education

BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience

Tools

ICC2/Innovus

PrimeTime/Tempus

Job description

NVIDIA’s Senior P&R Methodology Architect will define and own the RTL2GDS flow for 3nm and below, partnering with core P&R engine developers to optimize QoR, scalability and performance on the world's leading AI hardware.

You’ll design and roll out next-gen flows, run rigorous A/B tests, and develop Python-based analytics and ML techniques to mine QoR data and automate analysis, while coordinating with architecture, RTL, DFT, physical design, power and CAD teams.