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NVIDIA

Designs the chips and software that power AI

Senior Architect - GPU and SoC Modelling

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A bachelor's degree or equivalent experience in a relevant discipline, such as Computer Science, Electrical Engineering, or Computer Engineering.
  • At least 8 years of relevant work experience, or a master's degree with at least 5 years of experience, or a PhD with at least 3 years of experience.
  • Strong programming ability in C++ and C, with a good understanding of build systems such as CMake and make, toolchains such as GCC and MSVC, and libraries such as STL and Boost.
  • A background in Computer Architecture.
  • Familiarity with Docker, Jenkins, Python, and Perl.
  • Ability to work in a distributed team environment.

Responsibilities

  • Model and analyze graphics and/or SoC algorithms and features.
  • Work across modelling teams in a matrixed environment to document, design, and develop tools for analyzing and simulating models, and to validate and verify models.
  • Become familiar with the functional and performance models used at NVIDIA and assist with feature implementation as required.
  • Develop tests, test plans, and testing infrastructure for new architectures and features.
  • Perform and report code coverage analysis.
  • Mentor less experienced engineers and help sustain good coding practices.
  • Learn about newer modelling techniques and frameworks, evaluate solutions for the team's needs, and work with the manager to drive changes.
  • Help develop AI-based tools to increase efficiency.

Desired Qualifications

  • Experience with modelling using SystemC and TLM.

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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