GPU Architecture Graduate Intern

Intel•Folsom, CA

3d•Onsite

About The Position

As a Silicon Architecture Graduate Intern, you will contribute to defining and architecting silicon solutions, including hardware, firmware, and platform specifications. You will assist with modeling and simulation to analyze performance, power, and feature trade-offs across interconnected subsystems, helping guide architectural decisions toward product goals. You will collaborate with architects, design engineers, and validation teams on early-stage feasibility and specification development for innovative technologies. The role is part of Intel's Data Center Group, which develops scalable and efficient solutions for digital infrastructure and advanced computing. The internship offers hands-on experience contributing to silicon architecture and computing technologies.

Requirements

Currently pursuing a master's degree in GPU architecture, Computer Engineering, Electrical Engineering, or a closely related field.
Knowledge of GPU architecture concepts, including SIMT, parallelism, and cache hierarchies.
Proficiency in C, C++, and Python programming.
Understanding of hardware pipelines and basic RTL design methodologies.
Minimum GPA of 3.0.

Nice To Haves

Strong problem-solving and analytical skills for addressing complex technical challenges.
Excellent communication and teamwork abilities in a collaborative environment.
Enthusiasm to learn and grow within Intel's innovative ecosystem and contribute to impactful technologies.

Responsibilities

Assist in defining silicon architecture specifications based on product requirements and feature integration.
Support modeling and simulation to evaluate performance, power, and trade-offs for architectural decisions.
Collaborate with architects, design engineers, and validation teams to ensure feasibility and alignment with product goals.
Contribute to the development of high-level models and tools for architectural analysis.
Explore GPU concepts such as SIMT, parallelism, and cache hierarchies to guide architectural improvements.
Apply C, C++, and Python programming skills for prototyping and analysis tasks.