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AI GPU Architecture & Performance Optimization Intern

Intel Corporation
May 03, 2026
Internship
On-site
Shanghai, China
SoC Architecture Jobs, Level - Entry or Early Career

Job Title

AI GPU Architecture & Performance Optimization Intern

Role Summary

Join Intel's GPU Compute Architecture team as an intern to optimize GPU kernels and validate GPU IP using representative AI workloads. The role supports hardware/software co-design and influences performance of next-generation Intel GPU and AI accelerator platforms.

Hands-on work focused on low-level performance engineering, profiling, and building workload-driven performance models.

Experience Level

Entry-level (Internship). Suitable for current undergraduate or graduate students; no specific years-of-experience required.

Responsibilities

Primary responsibilities include kernel optimization, workload reproduction, profiling, and providing architecture-level performance insights.

  • Analyze and optimize core GPU compute kernels for AI and numerical workloads (e.g., GEMM, Attention, operator fusion).
  • Reproduce representative AI inference and training workloads for GPU IP validation.
  • Perform GPU performance profiling and analysis to identify compute, memory, and pipeline bottlenecks.
  • Build performance profiles and models to understand architecture-level performance behavior.
  • Provide workload- and kernel-level insights to support GPU architecture design and HW/SW co-design efforts.

Requirements

Must-have technical skills and attributes for this internship.

  • Proficiency in Python for analysis, experimentation, or tooling.
  • Solid understanding of AI fundamentals, including common models and algorithms.
  • Interest in GPU architecture, GPU programming, parallel computing, and performance optimization.
  • Basic knowledge of computer systems (CPU/GPU architecture, memory systems, performance analysis).
  • Strong analytical and problem-solving skills; ability to reason from profiling data.
  • Ability to work effectively in a collaborative, cross-functional engineering environment.

Education Requirements

Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.


About the Company

Company: Intel Corporation

Headquarters: Santa Clara, California, USA

Intel Corporation is a leading multinational technology company known for its innovative semiconductor solutions, including microprocessors, artificial intelligence accelerators, and memory products. Headquartered in the United States, Intel focuses on cutting-edge technology and a collaborative working environment, driving advancements in semiconductor manufacturing to meet global demands. The company emphasizes professional development and aims to shape the future of technology through groundbreaking designs.

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Date Posted: 2026-04-30