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NVIDIA

Designs the chips and software that power AI

Principal Architect - SoC and Systems Modelling

Hardware Systems IntegrationUpdated on Oct 31
Full-timeIn-person

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 15 years of relevant work experience, or a Master's degree with at least 12 years of experience, or a PhD with at least 7 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 Computer Architecture background with experience in modelling using C++ and/or SystemC (TLM), and familiarity with Docker, Jenkins, Python, and Perl.
  • Ability to communicate and work effectively in a distributed team environment.

Responsibilities

  • Model and analyze SoC and systems algorithms and features.
  • Work across modelling teams in a matrixed environment to document, design, and develop tools for analysis and simulation, and to validate and verify models.
  • Become familiar with functional and performance models used at NVIDIA and help implement features as required.
  • Develop tests, test plans, and testing infrastructure for new architectures and features, and perform code coverage analysis and reporting.
  • Mentor early-career engineers and help maintain good coding practices.
  • Learn about newer modelling techniques and frameworks, evaluate suitable solutions, and work with the manager to drive changes.

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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