AI GPU Arch Perf Analysis Intern

Job details

Job description

As an AI Architecture Performance Analysis Graduate Intern, you will join Intel's GPU Compute Architecture team and contribute to core GPU kernel perf analysis using real AI workloads.

Your work will directly support hardware/software co design and help analyze and shape the performance of next generation Intel GPU and AI accelerator platforms, while giving you hands on exposure to GPU architecture and low level performance engineering.

Key responsibilities

• 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.

Qualifications

Minimum qualifications

• Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
• Proficiency in Python for analysis, experimentation, or tooling.
• Solid understanding of AI fundamentals, including common models and algorithms.
• Strong interest in GPU architecture, GPU programming, parallel computing, and performance optimization.
• Basic knowledge of computer systems, such as CPU/GPU architecture, memory systems, and performance analysis.

Preferred qualifications

• Experience with GPU kernels or programming models (e.g., CUDA, OpenCL, SYCL, Triton).
• Exposure to performance optimization, compiler, or parallel computing coursework, research, or internships.
• Strong analytical and problem solving skills, with the ability to reason from profiling data.
• Interest in AI systems and infrastructure, beyond model level development.
• Ability to work effectively in a collaborative, cross functional engineering environment.

Job type

Student / Intern

Shift

Shift 1 (China)

Primary location

PRC, Beijing

Additional locations

Posting statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.