GPU and SoC Modelling Architect - New College Grad 2026

NVIDIA•Us, CA

About The Position

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our GPU architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip architectures and features that advance the state of art in performance and efficiency. NVIDIA’s invention of the GPU 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, we are increasingly known as “the AI computing company”. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Requirements

Pursuing or recently completed a BS, MS or PhD (or equivalent experience) in Computer Science, Electrical Engineering or Computer Engineering or related field.
Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GCC, MSVC) and libraries (STL, BOOST)
Computer Architecture background with experience in modeling with SystemC & TLM preferred
Familiarity with Docker, Jenkins, Python, Perl
Excellent communication and interpersonal skills and ability to work in a distributed team environment.

Responsibilities

Modeling and analysis of graphics and / or SOC algorithms and features
Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models
Familiarize with the different models (functional and performance) that are used at Nvidia and help with feature implementation as required.
Develop tests, test plans, and testing infrastructure for new architectures/features.
Code coverage analysis and reporting
Mentor younger engineers and help sustain good coding practices.
Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change
Help develop AI based tools to increase efficiency.