GPU System and Scheduling Architect – New College Grad 2026

at Nvidia

USD 124,000-241,500 per year

JUNIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI CUDA @ 3 Deep Learning @ 3 GPU @ 3 Machine Learning @ 3 NVLink @ 3 OpenGL @ 3 Perl @ 3 Python @ 3 Security @ 3 System Architecture @ 3

Details

NVIDIA is seeking a New College Graduate to join its architecture team and contribute to designing the next generation of GPU system interfaces. The role involves working across software, hardware, and verification teams to develop GPU technologies for applications including consumer graphics, artificial intelligence, self-driving cars, and other advanced computing products.

Responsibilities

Understand how GPU subsystem modules interoperate and interact with the overall system.
Architect and plan features in collaboration with software, hardware, and verification teams across the globe.
Create functional and performance models, often in C++, along with test plans to validate designed features.
Support post-silicon validation activities.
Continuously learn and grow in a dynamic, technology-focused environment.

Requirements

Recently completed an MS or PhD in Computer Architecture, Computer Science, Electrical Engineering, or a related field, or have equivalent experience.
Coursework or experience in computer architecture, operating systems, and/or system architecture.
Strong proficiency in C or C++.
Ability to create test plans for post-silicon validation activities.

Preferred Qualifications

Knowledge of memory isolation and security, firmware, process scheduling, OpenGL, DirectX, CUDA, deep learning/machine learning, PCIe, AXI, NVLink, and/or CXL.
Knowledge of Perl or Python.

Benefits

Equity and employee benefits are provided.
Applications will be accepted at least until November 7, 2026.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.