NVIDIA · 1 day ago
EDA Methodology Architect
NVIDIA is a leader in hardware design and optimization, seeking a Senior P&R Methodology Architect to define the next generation RTL2GDS flow for advanced nodes. The role involves collaborating with core developers and various teams to optimize design flows and drive methodology improvements.
Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
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 large 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 the ‘long tail’ of 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
Qualification
Required
BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience
8+ years physical design experience, with 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
Strong 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
Preferred
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/B 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 strong plus
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Recent News
2026-01-08
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