AI GPU Arch Perf Optimization Intern

Job Title

AI GPU Arch Perf Optimization Intern

Role Summary

As an AI Architecture and Performance Optimization Intern on the GPU Compute Architecture team, you will optimize GPU kernels and validate GPU IP using representative AI workloads. The role supports hardware/software co-design and contributes to performance analysis for next-generation GPU and AI accelerator platforms.

This position requires on-site work in Shanghai (primary) and involves collaborating with cross-functional engineering teams to translate profiling insights into architectural recommendations.

Experience Level

Entry-level internship suitable for current undergraduate or graduate students (Bachelor's, Master's, PhD).

Responsibilities

Key responsibilities include:

• 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 hardware/software co-design efforts.

Requirements

Must-have skills and relevant attributes; preferred items noted separately.

• Must-have: Proficiency in Python for analysis, experimentation, or tooling.
• Must-have: Solid understanding of AI fundamentals, common models, and algorithms.
• Basic knowledge of computer systems such as CPU/GPU architecture, memory systems, and performance analysis.
• Strong analytical and problem-solving skills with the ability to reason from profiling data.
• Interest in GPU architecture, GPU programming, parallel computing, and performance optimization.
• Nice-to-have: Experience with GPU kernels or programming models (CUDA, OpenCL, SYCL, Triton).
• Nice-to-have: Exposure to performance optimization, compilers, or parallel computing via coursework, research, or internships.
• Ability to work effectively in a collaborative, cross-functional engineering environment.

Education Requirements

Currently pursuing a Bachelor's, Master's, or PhD degree 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.