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Senior Physical Design Methodology Engineer, Innovus Flows
Job in
Santa Clara, Santa Clara County, California, 95053, USA
Listed on 2026-06-18
Listing for:
NVIDIA
Full Time
position Listed on 2026-06-18
Job specializations:
-
Engineering
AI Engineer (Applied/Software), Systems Engineer
Job Description & How to Apply Below
What you’ll be doing:
- 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.
- MS in Electrical or Computer Engineering (or equivalent experience).
- Minimum 7 years of experience in Physical Design; emphasis on methodology and flow development 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 post‑route, 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, 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++.
- Experience applying ML models, LLMs, and agentic AI techniques to EDA/PD problems (analytics, prediction, optimization).
- Proficiency with data analysis/ML libraries (e.g., Num Py, Sci Py, scikit‑learn, PyTorch, etc.).
- Proficiency in Cadence EDA tool suite – Innovus/genus/tempus/quantus/joules etc.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.
You will also be eligible for equity and benefits.
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
#J-18808-LjbffrPosition Requirements
10+ Years
work experience
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