NVIDIA
AI computing
SeniorCircuitMethodologyEngineer
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“Senior Circuit Methodology Engineer at NVIDIA. Skills: circuit design methodology, EDA tool evaluation/integration, workflow architecting, workflow implementation, workflow maintenance, vendor management, Python, Perl. Work with EDA vendors on evaluating new tools to benefit circuit design quality and reduce design-cycle times. Take ownership of new EDA tool workflows (architecting, implementing, advertising, maintenance)”
What You'll Achieve.
achieve higher design quality; achieve higher efficiency; achieve decision enablement in complex design scenarios; reduce design-cycle times
Industry & Context.
critical thinking skills; address issues with procedure or infrastructure improvements
What They're Looking For.
Must Have
Mid-level of programming skill is a must (primarily Python and Perl), 5 plus years of working experience related to circuit design methodology using Cadence/Synopsys based system (Virtuoso/Custom Compiler, respectively)
Nice to Have
Previous design experience is a huge plus, Familiarity with Cadence ADE Assembler is very beneficial, Working experience with transient simulator like: alps, hspice, primesim, spectre/spectrex is very beneficial, Experience with viewing and manipulating layout is a big plus, Exposure to, and experience with AI algorithms/flows is a big plus
What You'll Do.
Work with EDA vendors on evaluating new tools to benefit circuit design quality and reduce design-cycle times
Take ownership of new EDA tool workflows (architecting
Maintain relationships with EDA vendors
Participate in EDA conferences
Advise EDA tool development/improvement to be most advantageous to Nvidia
Review past problem cases and address issues with procedure or infrastructure improvements
Facilitate the integration of AI algorithms into workflows for improved efficiency
How You'll Work.
Team & Collaboration
Work closely with Nvidia's circuit design engineering team; Work with EDA vendors
Full Job Description
NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. We are looking for a Senior Circuit Methodology Engineer that will work closely with Nvidia's circuit design engineering team in the area of circuit methodology. Circuit simulator qualification and 3rd party (EDA) tool evaluation/integration will be emphasized to help our circuit design team achieve higher design quality, efficiency, and decision enablement in complex design scenarios. This position carries a critical responsibility in across the whole circuit design department! **What you 'll be doing:** * We need someone who will work with our EDA vendors on evaluating new tools to benefit circuit design quality and reduce design-cycle times. * To achieve this, you will take ownership of new EDA tool workflows that will involve architecting, implementing, advertising (in-house), and maintenance of these workflows. * This engineer will also work on maintaining our relationships with the EDA vendors and will likely be asked to participate in EDA conferences as a guest and/or speaker. * Part of owning EDA workflows is that we often promote Nvidia ideas to help advise EDA tool development/improvement to be most advantageous to Nvidia. * You would take part in reviewing past problem cases and address issues with procedure or infrastructure improvements. You may be involved in facilitating the integration of AI algorithms into workflows for improved efficiency! **What we need to see:** * BSEE, BSCE or equivale
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