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NVIDIA

Senior Physical Design Methodology Engineer, Retime Flows

Reposted 6 Hours Ago
Be an Early Applicant
In-Office
3 Locations
136K-265K Annually
Senior level
In-Office
3 Locations
136K-265K Annually
Senior level
Develop physical design methodologies for graphics processors and SoCs, focusing on chip floorplanning, P&R, timing analysis, and back-end verification.
The summary above was generated by AI

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is looking for best-in-class Senior Physical Design Methodology Engineer to solve challenging problems for the next generation technology and next generation high speed AI chips. Ideal candidate has in-depth understanding of Device Physics, Interconnect physics, hierarchical floorplanning, Place and route concepts. Come and take a part in crafting our groundbreaking and innovating chips, enjoy working in a meaningful, growing and professional environment where you make a significant impact in a technology-focused company.

What you'll be doing:

  • Developing physical design methodologies for implementation of graphics processors and SOCs.

  • Key responsibility includes developing unique and creative solutions to the state of the art physical design problems that are needed for NVIDIA chips.

  • Participate in developing flow and tool methodologies for chip floorplan, power and clock distribution, chip assembly and P&R, timing analysis and closure, power and noise analysis and back-end verification across multiple projects.

What we need to see:

  • MS in Electrical or Computer Engineering (or equivalent experience)

  • Minimum 5 years experience in Physical Design Engineering

  • Familiar with aspects of chip design including Floor planning, Clock and Power distribution, Place and Route, Integration and Verification.

  • Strong background with hierarchical design approach, top-down design, budgeting, timing and physical convergence.

  • Familiar with various process related design issues including Design for Yield and Manufacturability, EM and IR closure and thermal management.

  • You'll need to have expertise and in-depth knowledge of industry standard EDA tools.

  • Proficiency in programming and scripting languages, such as, Perl, Python, and C++.

NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 27, 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, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

C++
Eda Tools
Perl
Python
HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

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