NVIDIA
Senior Physical Design Methodology Engineer, Innovus Flows
$168K–$310K
US, CA, Santa Clara +3 · Senior · Full-time · Posted Oct 9, 2026
- Location
- US, CA, Santa Clara
US, TX, Austin
US, TX, Remote
US, CA, Remote - Experience
- Minimum 7 years in Physical Design; methodology and flow development emphasis is highly preferred.
- Education
- MS in Electrical or Computer Engineering (or equivalent experience).
About the job
Develop physical design methodologies and flows for NVIDIA processors and SoCs, improving PPA and runtime while applying AI/ML to CAD workflows.
What you'll do
- Develop physical design methodologies for GPU, CPU, network processor, and SoC implementation, focusing on PPA and flow runtime.
- Partner with internal and external teams to improve tools and methodologies across product lines.
- Apply AI/ML approaches to CAD to improve design performance, turnaround time, and productivity.
What they ask for
- MS in Electrical or Computer Engineering, or equivalent experience.
- Proven PPA improvement on high-performance and low-power designs in advanced technology nodes.
- Strong knowledge of physical design optimization and routing, STA, extraction, timing and RC correlation, and power optimization.
- Expertise with industry-standard EDA tools and proficiency in scripting or programming languages such as TCL, Perl, Python, and C++.
Nice to have
- Experience applying ML models, LLMs, or agentic AI to EDA/PD problems; proficiency with data analysis/ML libraries.
- Proficiency with the Cadence EDA tool suite, including Innovus, genus, tempus, quantus, or joules.
Pay
168,000 USD - 264,500 USD base salary (Level 4); 196,000 USD - 310,500 USD base salary (Level 5)
Tools
UPF, FSDB/SAIFs, TCL, Perl, Python, C++, Innovus, PyTorch
AI focus
Apply AI/ML approaches to CAD to improve design performance, turnaround time, efficiency, and productivity; experience with ML models, LLMs, and agentic AI for EDA/PD is a differentiator.
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