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Senior Physical Design Methodology Engineer, Innovus Flows

2 Weeks ago • 7 Years + • Research & Development • $168,000 PA - $310,500 PA

Job Summary

Job Description

NVIDIA seeks a Senior Physical Design Methodology Engineer with expertise in Innovus flows to develop innovative physical design methodologies for GPUs, CPUs, and SOCs. Responsibilities include developing advanced place and route methods, floorplanning, power optimization, timing analysis, and EM/IR closure. Collaboration with internal/external partners to enhance tool methodologies and deliver best-in-class PPA solutions is crucial. The role requires strong understanding of physical design optimization, advanced clock tree synthesis, STA, and advanced node design rules. Experience with UPF, FSDB/SAIFs, hierarchical design, and power distribution networks is essential. Proficiency in TCL, Perl, Python, and C++ is needed.
Must have:
  • MS in EE/CE or equiv. exp.
  • 7+ years Physical Design exp.
  • PPA improvement track record
  • Advanced node design expertise
  • STA, extraction, timing knowledge
  • Innovus flow proficiency
  • Scripting (TCL, Perl, Python, C++)
Good to have:
  • AI/ML in physical design
  • UPF, FSDB/SAIFs experience
Perks:
  • Equity
  • Benefits

Job Details

Do you have a passion for computer gaming, virtual reality, computer vision, and artificial intelligence? Ever dream about inventing your own holodeck? Do you want to work on groundbreaking problems alongside some of the most forward-thinking people in the world?

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

What you will be doing:

  • Developing innovative physical design methodologies for implementation of GPU, CPU and SOCs, with emphasis on PPA (Power, Performance, Area) and runtime improvement of the physical design flow on advanced technology nodes

  • Develop flows for advanced place and route methods, floorplanning and chip assembly, power and clock distribution, power and area optimization, timing, IR and EM analysis and closure

  • Work with internal and external partners to drive tool and methodology improvements to deliver best-in-class PPA solutions across all our product lines

What we need to see:

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

  • Minimum 7 years’ experience in Physical Design Engineering

  • 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

  • Solid background in advanced Clock tree synthesis methods and techniques

  • Strong background in STA, extraction, timing and RC correlation

  • Good understanding of design rules in advanced nodes and their impact on DRC closure and PPA optimization

  • Understanding of power intent files such as UPF, and use of FSDB/SAIFs for power optimization

  • Understanding of hierarchical design, pinning and budgeting flows

  • Experience with power distribution networks, Design for Yield and Manufacturability, EM and IR closure and thermal management

  • Expertise and in-depth knowledge of industry standard EDA tools

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

Ways to stand out from the crowd:

  • Experience and understanding of AI/ML methods in physical design optimization is preferred

  • Expertise and in-depth knowledge of industry standard EDA tools, with proficiency in Innovus based flows preferred

NVIDIA is widely considered to be one of the technology world’s most desirable employers. And due to outstanding growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you!

The base salary range is 168,000 USD - 310,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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