NVIDIA

AI computing

SeniorCircuitMethodologyEngineer

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

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Circuit Methodology Engineer at NVIDIA. Skills: tools architect, circuit design methodology, CAD/EDA development, internal tools engineering for semiconductor design flows, AI algorithms/flows integration into tools. designing, improving, and evolving in-house methodology applications. develop new tools”

What You'll Achieve.

achieve rapid tapeout schedules; better design quality; efficient AI integration within our flows; remain robust, maintainable, and aligned with evolving design methodology and business needs; streamline handoffs and reduce tapeout cycle time; measure adoption, usage, data quality, and impact on schedule and circuit design quality; actively improve mixed-signal build quality through better specifications, checks, and traceability of requirements

Industry & Context.

AI computing
Problems you'll solve

critical thinking skills

What They're Looking For.

Must Have

5+ years of working experience related to circuit design methodology, CAD/EDA development, or internal tools engineering for semiconductor design flows, BSEE, BSCE, or equivalent experience

Nice to Have

Exposure to, and experience with AI algorithms/flows, and their integration into tools is strongly desired, Background in process/flow engineering aimed at tapeout schedule reduction and design-quality improvements is a huge plus, Coding experience considered a benefit

What You'll Do.

and evolving in-house methodology applications

improve and maintain existing ones

promote their use across various departments

and collaborate with software development teams to implement new in-house tools that support mixed-signal project

and circuit deliverable tracking

and collaborate with software development teams to deploy AI/ML capabilities into the tool ecosystem

own and improve existing internal applications

define and drive tool integration into multi-department flows (circuit design

CAD) to streamline handoffs and reduce tapeout cycle time

establishing and communicating guidelines for tool usage

and support processes

adding telemetry and metrics to measure adoption

and impact on schedule and circuit design quality

ensure that methodology tools actively improve mixed-signal build quality through better specifications

and traceability of requirements

How You'll Work.

Team & Collaboration

collaborate with our software development teams to implement new in-house tools; collaborate with software development teams to deploy AI/ML capabilities into the tool ecosystem; tool integration into multi-department flows (circuit design, verification, VLSI, CAD)

Communication Scope

communicating guidelines for tool usage

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 seek a Senior Circuit Methodology Engineer who is a skilled tools architect to lead designing, improving, and evolving our in-house methodology applications. This role will develop new tools, improve and maintain existing ones, and promote their use across various departments to achieve rapid tapeout schedules, better design quality, and efficient AI integration within our flows! **What you 'll be doing:** * We need someone who will architect, develop, and collaborate with our software development teams to implement new in-house tools that support mixed-signal project, cell specification, and circuit deliverable tracking. * Be encouraged to identify, prototype, and collaborate with software development teams to deploy AI/ML capabilities into the tool ecosystem. * In addition, this engineer will own and improve existing internal applications, ensuring they remain robust, maintainable, and aligned with evolving design methodology and business needs. * Your work will define and drive tool integration into multi-department flows (circuit design, verification, VLSI, CAD) to streamline handoffs and reduce tapeout cycle time. * Responsible for establishing and communicating guidelines for tool usage, including onboarding, documentation, training, and support processes. * Additional responsibilities may include adding telemetry and metrics to measure adoption, usage, data quality, and impact on schedule and cir

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