AI Software Technical Intern

Intel • Us, CA

3d • $133,498 - $170,602 • Hybrid

About The Position

We are seeking a driven and curious Technical Intern to join our AI Software and Hardware Architecture team. In this role, you will work at the intersection of next-generation GPU architecture, performance simulation, and modern AI engineering. Our team develops architectural models and virtual platforms (VPs) to project, evaluate, and optimize the performance of future high-performance computing (HPC) and AI GPU architectures before silicon is taped out. As part of this mission, you will actively integrate the latest generative AI capabilities-including GitHub Copilot, custom Large Language Model (LLM) agents, and developer tooling integrations-directly into our architectural modeling, automated testing, and performance analysis pipelines. This internship offers an opportunity to gain hands-on experience with production-scale architectural simulators while pioneering modern, AI-augmented hardware engineering practices.

Requirements

• 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, and vector/SIMD processing).
• Experience with Linux/Unix environments, version control systems (Git), and modern build pipelines (CMake, Ninja).
• Familiarity with utilizing AI developer tooling (e.g., GitHub Copilot, Anthropic APIs, or local LLM runtimes) for software engineering.

Nice To Haves

• Prior coursework or project experience in: GPU architecture, parallel programming, or accelerated computing (CUDA, SYCL, OpenCL, or GPU compute APIs).
• Virtual Platforms, architectural simulators (e.g., gem5, SystemC/TLM, or proprietary simulator platforms).
• Software testing and test-driven development (TDD) using frameworks like GoogleTest (gtest).
• Experience building LLM-assisted developer agents, prompt engineering pipelines, or custom developer automation tooling.
• Familiarity with hardware/software co-design concepts and performance modeling methodologies.

Responsibilities

• Collaborate with senior architects to develop, calibrate, and validate cycle-approximate or cycle-accurate Virtual Platform (VP) models for future GPU architectures (compute engines, memory fabric, cache hierarchies, and interconnects).
• Implement functional and performance simulation components in modern C++ and SystemC/TLM frameworks.
• Assist in porting, configuring, and executing graphics and compute workloads (e.g., PyTorch, SYCL, OpenCL, Vulkan/DirectX) across simulated environments.
• Accelerate development and debugging efficiency by leveraging GitHub Copilot and state-of-the-art LLM capabilities across team repositories.
• Prototype and deploy agentic AI workflows and tools (e.g., Model Context Protocol [MCP] integrations, automated log and trace summarization, error diagnosis).
• Build AI-assisted test generation tools and validation scripts using Python and unit testing frameworks (e.g., GoogleTest).
• Collect, profile, and analyze trace-driven simulation data to pinpoint memory subsystem bottlenecks, cache miss penalties, and pipeline stalls.
• Create automated visualization dashboards and reporting scripts to present performance trade-offs to senior architecture and design teams.
• Investigate anomaly detection in large-scale simulation telemetry using machine learning and statistical analysis techniques.

Benefits

• Competitive intern compensation
• technical networking events
• career development sessions
• Mentorship from industry-leading Principal Engineers and Architects in GPU architecture and AI system design.
• Exposure to pre-silicon hardware validation methodologies used across world-class compute products.
• An innovative environment where you are encouraged to experiment with and deploy the latest generative AI paradigms into traditional systems engineering.
• competitive pay
• stock bonuses
• benefit programs which include health, retirement, and vacation.

What This Job Offers

• Career Level: Intern