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NEXTMOVEFDE careers · United States

EDA Methodology Architect

AI summary of the role

Define and own the next-generation RTL2GDS flow for advanced nodes (3nm and below) targeting high-performance GPU, CPU, and SoC designs at NVIDIA.

What you’ll do

  • Work directly with core P&R engine developers to define optimization problems, shape requirements, and provide feedback on engine behavior and QoR.
  • Define and roll out next-gen flows, refactoring legacy flows into scalable, maintainable frameworks used across multiple design teams.
  • Design and run rigorous A/B and multi-variant experiments; develop Python-based analytics and ML/GenAI techniques to mine QoR datasets.
  • Perform deep root-cause analysis on QoR issues across engines, tools, and flows, driving methodologies to resolve timing closure and performance limiters.

What you’ll bring

  • 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.
  • 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.

Technologies

RTL2GDS · ICC2 · Innovus · PrimeTime · Tempus · Python · Perl · TCL · DFT · synthesis · placement · CTS

About NVIDIA

Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.

Public

Source and classification

Internal deployment & tooling · Evidence for this classification:

NVIDIA's success builds on a foundation of industry leading hardware. We achieve distinction through extensive design optimization, including combining the best of external EDA with highly optimized, internal EDA tools. Our team develops these tools by fusing advances in parallel computing, machine learning, and specialized algorithms for VLSI design. We are seeking a Senior P&R Methodology Architect to define and own the next generation RTL2GDS flow for advanced nodes (3nm and below) and high performance GPU, CPU and SoC designs. You should have deep, hands‑on experience across the full RTL2GDS flow, with expertise in key stages such as RTL, DFT, synthesis, placement, optimization, CTS, routing, and signoff. Creativity and self-drive to explore is required. Our engineers enjoy unusually high intellectual freedom and the ability to explore broad roles. If you like to work across many
More from the job description

NVIDIA's success builds on a foundation of industry leading hardware. We achieve distinction through extensive design optimization, including combining the best of external EDA with highly optimized, internal EDA tools. Our team develops these tools by fusing advances in parallel computing, machine learning, and specialized algorithms for VLSI design. We are seeking a Senior P&R Methodology Architect to define and own the next generation RTL2GDS flow for advanced nodes (3nm and below) and high performance GPU, CPU and SoC designs. You should have deep, hands‑on experience across the full RTL2GDS flow, with expertise in key stages such as RTL, DFT, synthesis, placement, optimization, CTS, routing, and signoff. Creativity and self-drive to explore is required. Our engineers enjoy unusually high intellectual freedom and the ability to explore broad roles. If you like to work across many technical areas and see your successes directly realized in the world's best AI hardware, it does not get any better than this! What you’ll be doing: 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 u [... source excerpt omitted ...] ur 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. Applications for this job will be accepted at least until April 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, nati

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