Senior GPU Functional Modeling Architect

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing.

For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU.

The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science.

Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world.

We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

NVIDIA Architecture Modeling group is looking for Architects, Functional Modeling Engineers, and Simulation experts to join various architecture efforts across GPU Architecture teams.

In this position, you will be working with other world-class architects on enabling functional simulation platforms across GPU generations.

What you’ll be doing:

Modeling of GPU architecture, baseboard components and other features

Work in a matrixed environment, across the different modeling teams, to document, design, develop tools to analyze and simulate, validate and verify models

Familiarize with different functional and performance simulation models across Nvidia and work through modeling features

Develop tests, test plans and testing infrastructure for new architectures/ features

Guide the improvement of the simulation platform and expand other resources to support future GPU architectures

Develop or use AI to help with day-to-day tasks

What we need to see:

BS, MS, 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.

Solid background in Computer Architecture with experience in modeling (System C & TLM preferred)

Proficiency in Python and ML frameworks like 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

You will also be eligible for equity and benefits.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.