AI Systems & GPU Architecture Intern

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

Benefits offered by this job

Mentorship from senior engineers

Hybrid on-site work model

Stock bonuses (if applicable)

Health benefits

Job summary

Intel Corporation invites applications for a 6-month Technical Intern role in Santa Clara, CA, joining the AI Software and Hardware Architecture team. You will work on next‑gen GPU architecture, performance simulation, and AI‑augmented tooling within VP models and simulators, using C++, Python, and SystemC/TLM.

The role emphasizes hands‑on development of architectural models, automated testing, and performance analysis, with exposure to state‑of‑the‑art AI workflows and tools.

Qualifications

• Currently enrolled in an accredited 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 preferred) and Python.
• Solid foundational knowledge of computer architecture principles (cache hierarchies, memory coherence, pipelining, vector/SIMD).
• Experience with Linux/Unix, 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.
• Implement functional and performance simulations in modern C++ and SystemC/TLM.
• Port, configure, and run workloads (PyTorch, SYCL, OpenCL, Vulkan/DirectX) in simulated environments.
• Prototype AI workflows, KPI dashboards, and automated test scripts using Python.

Skills

C++ (modern C++17/20)

Python

Computer architecture

Linux/Unix

Git

CMake

AI tooling

Education

Master's or Ph.D. in Computer Science/Computer Engineering/Electrical Engineering

Tools

SystemC/TLM

gem5

CUDA

OpenCL

SYCL

Job description

Intel Corporation invites applications for a 6-month Technical Intern role in Santa Clara, CA, joining the AI Software and Hardware Architecture team. You will work on next‑gen GPU architecture, performance simulation, and AI‑augmented tooling within VP models and simulators, using C++, Python, and SystemC/TLM.

The role emphasizes hands‑on development of architectural models, automated testing, and performance analysis, with exposure to state‑of‑the‑art AI workflows and tools.