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NVIDIA

Designs the chips and software that power AI

Senior GPU Functional Modeling Architect

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A BS, MS, or PhD, or equivalent experience, in Computer Science, Electrical Engineering, Computer Engineering, or a related field, with 5+ years of experience in related areas.
  • Proficient programming skills in C++, C, and scripting languages such as Python or Perl.
  • A solid background in Computer Architecture and modeling; SystemC and TLM experience is preferred.
  • Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and LangChain.
  • Strong problem-solving and debugging skills, with a track record of driving issues to closure.
  • Effective communication and interpersonal skills, with the ability to work successfully in a distributed team environment.
  • Strong collaboration skills with design and engineering teams.

Responsibilities

  • Model GPU architecture, baseboard components, and other features.
  • Work across modeling teams in a matrixed environment to document, design, and develop tools for analysis and simulation, and to validate and verify models.
  • Familiarize with functional and performance simulation models across NVIDIA and work through modeling features.
  • Develop tests, test plans, and testing infrastructure for new architectures and features.
  • Guide improvements to the simulation platform and expand resources to support future GPU architectures.
  • Develop or use artificial intelligence to help with day-to-day tasks.

Desired Qualifications

  • Experience with SystemC and TLM modeling.

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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