AI GPU Architecture Intern: Pre-Silicon HPC & AI

Intel; Santa Clara (CA); Hybrid; USD 133,000 - 171,000; Part time

Benefits offered by this job

Hybrid work model

Competitive internship compensation

Mentorship from senior engineers

Job summary

Intel in Santa Clara, CA is seeking a Technical Intern to join the AI Software and Hardware Architecture team, working at the intersection of next‑generation GPU architecture, performance simulation, and modern AI engineering.

You will help develop virtual platforms, implement simulation components in modern C++ and SystemC/TLM, and assist in porting workloads such as PyTorch across simulated environments. This 6‑month internship offers hands‑on experience with production‑scale simulators.

Qualifications

• Currently enrolled in a Master's or Ph.D. program in Computer Science, Computer Engineering, Electrical Engineering, or a closely related discipline.
• Strong proficiency in C++ (modern C++17/20) and Python.
• Solid foundational knowledge of computer architecture principles (cache hierarchies, memory coherence, pipelining, and vector/SIMD processing).
• Experience with Linux/Unix environments, version control (Git), and modern build pipelines (CMake, Ninja).
• Familiarity with AI developer tooling (GitHub Copilot, Anthropic APIs, or local LLM runtimes).

Responsibilities

• Collaborate with senior architects to develop VP models for future GPU architectures (compute engines, memory fabric, cache hierarchies, interconnects).
• Implement functional and performance simulation components in modern C++ and SystemC/TLM.
• Port, configure, and execute graphics and compute workloads across simulated environments (PyTorch, SYCL, OpenCL, Vulkan/DirectX).
• Prototype and deploy AI workflows and tools, build AI-assisted test generation tools using Python and GoogleTest.

Skills

C++

Python

Linux

Git

CMake

Education

Master's or PhD in CS/CE/EE

Tools

SystemC/TLM

gem5

PyTorch

Job description

Intel in Santa Clara, CA is seeking a Technical Intern to join the AI Software and Hardware Architecture team, working at the intersection of next‑generation GPU architecture, performance simulation, and modern AI engineering.

You will help develop virtual platforms, implement simulation components in modern C++ and SystemC/TLM, and assist in porting workloads such as PyTorch across simulated environments. This 6‑month internship offers hands‑on experience with production‑scale simulators.