NVIDIA · 10 hours ago
Senior Physical Design Methodology Engineer, Innovus Flows
United States
Full-time
Remote
Senior Level
$168K/yr - $264K/yr
7+ years expNVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. They are looking for a physical design engineer to drive innovation in physical design methodology across all of NVIDIA's products, enabling speed to market and delivering industry-leading chip hardware.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Developing innovative physical design methodologies for implementation of GPU, CPU, Network processors and SOC, with emphasis on PPA (Power, Performance, Area) and runtime improvement of the physical design flow on advanced technology nodes
Work with internal and external partners to drive tool and methodology improvements to deliver best-in-class PPA solutions across all our product lines
Use AI/ML approaches to CAD to improve design performance and turnaround time, while improving efficiency and productivity of designers
Qualification
Required
MS in Electrical or Computer Engineering (or equivalent experience)
Minimum 7 years of experience in Physical Design; emphasis on methodology and flow development is highly preferred
Proven track record of PPA improvement on high performance and low power designs in advanced technology nodes
Strong understanding of physical design optimization and routing methodologies at place, cts, route and postroute, especially power and area efficient setup and hold optimization
Strong background in STA, extraction, timing and RC correlation
Experience in low power design with UPF, and use of FSDB/SAIFs for power optimization
Solid understanding of EM and IR analysis and closure
Understanding of synthesis, hierarchical design, pinning and budgeting flows
Experience with power distribution networks, EM/IR analysis and closure, Design for Yield and Manufacturability and thermal management
Expertise and in-depth knowledge of industry standard EDA tools and proficiency in programming and scripting languages, such as TCL, Perl, Python, and C++
Preferred
Experience applying ML models, LLMs, and agentic AI techniques to EDA/PD problems (analytics, prediction, optimization)
Proficiency with data analysis/ML libraries (e.g., NumPy, SciPy, scikit-learn, PyTorch, etc.)
Proficiency in Cadence EDA tool suite – Innovus/genus/tempus/quantus/joules etc
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
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
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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
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
Digital Journal
2026-01-23
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