GPU Architecture Engineer - New College Grad 2026

Socket.dev; North Carolina; On-site; USD 124,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a talented researcher in GPU architecture to join our Architecture team. You will develop and validate simulators, models, and testing infrastructure for future GPUs, focusing on SM, Tensor Core, Work Distribution, and Ray Tracing features.

Ideal candidates are pursuing or recently completed MS or PhD in CS, EE, or Math, with strong C++ and Python skills and a solid understanding of computer architecture and parallel programming.

Qualifications

• Pursuing or recently completed MS or PhD in CS, EE, math, or related field.
• Strong programming in C++ and Python.
• Deep knowledge of computer architecture and parallel programming.

Responsibilities

• 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

Skills

C++

Python

Computer architecture

Data structures and algorithms

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 fundamentals in data structure and algorithms

Ways to stand out from the crowd

• Background in machine learning, deep learning and graphics algorithms
• Prior research or internship experience in GPU or computer architecture
• Programming experience with CUDA DirectX, and/or Vulkan
• Experience using AI-assisted development tools to improve engineering productivity while maintaining strong technical judgement, validation, and code 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.