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.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- BS, MS, PhD or equivalent in Computer Science, Electrical Engineering, Computer Engineering, or related field with 5+ years experience
- Proficient programming skills in C++ and C
- Scripting experience with Python or Perl
- Solid background in Computer Architecture with modeling experience
- Experience with SystemC and TLM
- Proficiency with ML frameworks (PyTorch, TensorFlow, LangChain)
- Experience developing tests, test plans, and testing infrastructure
- Experience with functional and performance simulation models
- Ability to develop or apply AI to day-to-day tasks
- Strong problem-solving and debugging skills
- Effective communication and interpersonal skills
- Strong collaboration skills with design and engineering teams
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
