GPU Architecture Engineer - New College Grad 2026

NVIDIA; United States; On-site; USD 124,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is hiring for a position on the GPU Architecture team to develop and validate features that shape future GPUs, including SM, Tensor Core, work distribution, and ray tracing.

You will model graphics and parallel processing in C++ and Python, build simulators, and design tests to ensure model accuracy. A MS/PhD and strong programming skills are required.

Qualifications

• MS or PhD in Computer Science, Electrical Engineering, Mathematics, or related field.
• Strong programming ability in C++ and Python.
• Deep knowledge of computer architecture and parallel programming.
• Foundational knowledge in data structures and algorithms.

Responsibilities

• Develop and enhance features in GPU architecture on the GPU Architecture team.
• Advance GPU architecture simulators, testing infrastructure, and performance metrics.
• Model graphics and parallel processing features for future GPU architectures in C++ and Python.
• Develop test plans and testing infrastructure to validate and verify functional models.

Skills

C++

Python

Computer architecture

Parallel programming

Education

MS or PhD in Computer Science, Electrical Engineering, Mathematics or related field

Tools

CUDA

DirectX

Vulkan

Job description

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing, an era in which our GPUs act 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.

Our GPU Architecture team sits at the heart of this innovation, building and validating the simulators, models, and testing infrastructure that shape how future GPUs think, compute, and perform. In this position, you'll be responsible for developing and enhancing features in the GPU architecture. This role is on the GPU Architecture team, contributing to SM (Streaming Multiprocessor), Tensor Core , Work Distribution, and Ray Tracing architecture development.

What you’ll be doing

• Advancing GPU architecture simulators, testing infrastructure, and performance metrics
• Modeling graphics and parallel processing features for future GPU architectures in C++ and Python
• Developing test plans and testing infrastructure to validate and verify functional models
• Debugging tests on architecture simulators and building tools to ensure model accuracy

What we need to see

• Currently pursuing or recently completed an MS or PhD in Computer Science, Electrical Engineering, Mathematics, or a related field (or equivalent experience)
• Strong programming ability in C++ and Python
• Deep knowledge of computer architecture and parallel programming
• Strong fu ndamenta ls in d ata s truc ture and al gorithm s

Ways to stand out from the crowd

• Background in machine learning, deep learning and graphics algorithms
• Prior research or internsh ip expe rience in GPU or c omputer architecture
• Programming experience with CUDA DirectX, a nd/ or Vulkan
• Experience usin g AI -assi sted deve lopment to ols to imp rove engineering pro ductivit y whi le ma inta ining strong tech nical judg em en t, vali dation, and co de quality

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!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 20, 2026.

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.