NVIDIA

VLSI

ImplementationMethodologyEngineer

$136–265k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Implementation Methodology Engineer at NVIDIA. Skills: front-end design implementation methodologies, synthesis, formal-equivalence-checking, flow automation, application support, physical design implementation. responsible for all aspects of front-end design implementation methodologies (synthesis, formal-equivalence-checking), flow automation and application support. Develop in house solutions to improve NVIDIA's workflows”

What You'll Achieve.

improve NVIDIA's workflows

Industry & Context.

VLSI
Problems you'll solve

find solutions to hard technical problems; Good debugging and problem-solving skills

What They're Looking For.

Must Have

BS or MS in Electrical Engineering, Computer Engineering, or related fields (or equivalent experience), 5+ years of experience in logic design implementation and/or physical design implementation, automation skills, Good understanding of physical design implementation eg: physical synthesis, placement, routing, logic restructuring, etc., Good debugging and problem-solving skills, interpersonal skills along with the ability to work in a dynamic team

Nice to Have

Prior experience in implementation methodology, Proficiency in Python, Tcl, Java, C++ scripting

What You'll Do.

responsible for all aspects of front-end design implementation methodologies (synthesis

formal-equivalence-checking)

flow automation and application support

Develop in house solutions to improve NVIDIA's workflows

Provide support for EDA tools and flows

How You'll Work.

Team & Collaboration

collaborate with logic designers, physical designers to solve exciting implementation issues and develop new solutions; ability to work in a dynamic team

Full Job Description

We are looking for an Implementation Methodology Engineer to join NVIDIA VLSI team. If you are looking for a challenging and exciting role and you are a self-starter and highly motivated individual who loves to collaborate and find solutions to hard technical problems, join us today! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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 that are hard to pursue, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. **What you’ll be doing:** * You will be responsible for all aspects of front-end design implementation methodologies (synthesis, formal-equivalence-checking), flow automation and application support. * Develop in house solutions to improve NVIDIA's workflows. * You will collaborate with logic designers, physical designers to solve exciting implementation issues and develop new solutions. * Provide support for EDA tools and flows **What we need to see:** * BS or MS in Electrical Engineering, Computer Engineering, or related fields (or equivalent experience). * 5+ years of experience in logic design implementation and/or physical design implementation * Strong automation skills * Good understanding of physical design implementation eg: physical synthesis, placement, routing, logic restructuring, etc. * Good debugging and problem-solving skills * Strong interpersonal skills along with the ability to work in a dynamic team **Ways to stand out from the crowd :** * Prior experience in implementation methodology * Proficiency in Python, Tcl, Java, C++ scripting NVIDIA is widely considered to be one of the technology world’s most desirable e

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