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
Requirements
- 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, 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++
Nice to Have
- 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
- Eligible for equity
- Benefits (see https://www.nvidia.com/en-us/benefits/)
Additional Information
- Applications accepted until January 29, 2026
- This posting is for an existing vacancy
- NVIDIA uses AI tools in its recruiting processes
- NVIDIA is committed to being an equal opportunity employer and does 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
