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NVIDIA

Designs the chips and software that power AI

CPU Design Methodology Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A master's degree in Computer or Electrical Engineering, or equivalent experience.
  • At least 8 years of experience in chip design, specializing in system-on-chip integration and design automation.
  • Experience in RTL design using Verilog, verification using UVM and SystemVerilog, system-on-chip design and integration flow, and design automation.
  • Strong coding skills in Perl, Python, or other industry-standard scripting languages.

Responsibilities

  • Define and develop system-level methodologies and tools to build system-on-chips efficiently and at scale.
  • Identify inefficiencies and improvement opportunities in the front-end chip implementation process and propose solutions.
  • Own front-end design quality checks and reviews to provide the physical design team with high-quality RTL.

Desired Qualifications

  • Experience in synthesis and physical design is a plus.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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