GPU Architecture Engineer - New College Grad 2026

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.

As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. You will be responsible for developing and enhancing various features in the GPU architecture.

Responsibilities:

• Contribute to advancing GPU Architecture Simulators, GPU testing infrastructure and metrics.
• Understand and model in C++ and Python, features for future GPU graphics and parallel processing architectures.
• Develop test plans and testing infrastructure.
• Debug tests on architecture simulators.
• Develop tools to validate performance models and verify functional models.

Requirements:

• Pursuing or recently completed an MS or PhD (or equivalent experience) in CS, EE, math or related discipline.
• Strong programming ability in C, C++, and Python.
• Deep knowledge of computer architecture and parallel programming.

Preferred Qualifications:

• Experience in machine learning/deep learning and/or graphics algorithms, and/or signal processing.
• Prior architecture experience.
• Programming in CUDA and/or DX and Vulkan.

You will also be eligible for equity and benefits.