About the role#
This internship places you at the intersection of GPU architecture, performance simulation, and AI engineering. You will join the AI Software and Hardware Architecture team to help project, evaluate, and optimize future high-performance computing and AI GPU architectures before silicon is taped out. You will work with architectural models and virtual platforms while integrating generative AI tools into our engineering pipelines.
What you'll do#
- Collaborate with senior architects to develop and validate cycle-accurate Virtual Platform models for future GPU architectures.
- Implement simulation components using modern C++ and SystemC/TLM frameworks.
- Port and execute graphics and compute workloads like PyTorch, SYCL, OpenCL, and Vulkan across simulated environments.
- Accelerate debugging by using GitHub Copilot and LLM capabilities.
- Prototype agentic AI workflows and tools to improve developer efficiency.
- Build AI-assisted test generation tools and validation scripts using Python and unit testing frameworks.
- Analyze trace-driven simulation data to identify memory bottlenecks, cache misses, and pipeline stalls.
- Create automated visualization dashboards and reporting scripts to present performance trade-offs.
- Investigate anomaly detection in simulation telemetry using machine learning and statistical methods.
What you'll need#
- Current enrollment in a Master's or Ph.D. program in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Strong proficiency in C++ (C++17/20 preferred) and Python.
- Foundational knowledge of computer architecture, including cache hierarchies, memory coherence, pipelining, and SIMD processing.
- Experience with Linux/Unix environments, Git, and build pipelines like CMake and Ninja.
- Familiarity with AI developer tooling such as GitHub Copilot, Anthropic APIs, or local LLM runtimes.
- Prior project experience in GPU architecture, parallel programming, or accelerated computing.
- Experience with virtual platforms, architectural simulators, and test-driven development.
- Familiarity with hardware/software co-design and performance modeling.
Location & details#
- Location: Santa Clara, California.
- Term: Winter 2027.
- Modality: Hybrid.
- Status: Full-time internship.
- Compensation: Paid position.
About Intel Corporation
Intel Corporation designs and manufactures semiconductors. The company focuses on artificial intelligence, autonomous driving, and non-volatile memory solutions. It operates as a public company with over 110,000 employees. The headquarters are in Santa Clara, California, with major office locations across the United States, Israel, France, Singapore, and Poland.
How to get in at Intel Corporation
Securing an internship at Intel Corporation requires speed, as early applicants are often reviewed before the volume of candidates becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and stay ahead of the crowd. This helps you avoid getting lost in the queue when thousands of others submit their materials. You can also improve your chances by reaching out to the people actually hiring for these positions. Intern Insider surfaces the recruiters behind the company's roles so you can reach out directly to ask about the role or a referral. Connecting with a human at Intel Corporation materially improves your response rates compared to a standard cold application.
