Job Description:
Join as a GPU AI Compute Architect Intern and contribute to shaping the future of Intel’s AI hardware. This role involves analyzing AI workloads, developing performance analysis tools, and evaluating GPU AI architecture to optimize next-generation Intel hardware.

Responsibilities:

Analyze performance data for emerging AI workloads, including multimodality generative AI
Co-develop and enhance internal performance analysis tools for better accuracy
Correlate simulation results with real hardware measurements
Evaluate GPU AI hardware architecture to improve efficiency
Provide software optimization guidelines for AI workloads

Preferred Qualifications:

Strong data analysis and presentation skills
Understanding of deep learning models like LLM and Stable Diffusion
Experience with performance analysis tools and simulators
Knowledge of computer architecture and workload characterization
Familiarity with PyTorch and AI software frameworks

Education Requirement: Pursuing or completed BS, MS in Electrical Engineering, Computer Science, Mathematics, or related majors

Technical Skills Required: Python, AI, Deep Learning, Large Language Models (LLM), Stable Diffusion, Multimodality Generative AI, Performance Analysis Tools, Simulators, Workload Characterization, Performance Projection, Computer Architecture, PyTorch

This internship offers an exciting opportunity to work in AI hardware research and development, gaining hands-on experience with cutting-edge GPU and AI computing technologies.

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GPU AI Compute Architect - Intern