AI Infrastructure Intern: Cluster Ops & Benchmarking

Intel Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 133,000 - 134,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Paid time off

Job summary

Intel Corporation in Santa Clara is seeking an AI Infrastructure Solution Architect Intern to join the AI Platforms team. You will work with engineers to deploy and validate AI accelerator systems, run multi-node clusters, and automate validation workflows in a hands-on internship.

The role emphasizes Linux, Python tooling, and performance benchmarking, with opportunities to contribute to end-to-end AI solutions and collaborate across hardware, software, and model teams.

Qualifications

• Currently pursuing Master's in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or AI/ML or related fields.

Responsibilities

• Assist in deploying and validating AI accelerator systems and multi-node AI clusters.
• Analyze hardware, firmware, driver, and software logs to identify failures.
• Deploy and evaluate AI models using frameworks such as PyTorch and vLLM.
• Develop Python-based tools to automate testing, monitoring, and data collection.
• Participate in building end-to-end AI solutions integrating hardware, software, and AI models.

Skills

Python programming

Linux command line

System administration

Analytical thinking

Problem-solving

Team collaboration

Education

Master's in Computer Science/Engineering/Data Science/AI or related fields

Tools

Docker

Git

C/C++

Bash scripting

Job description

Intel Corporation in Santa Clara is seeking an AI Infrastructure Solution Architect Intern to join the AI Platforms team. You will work with engineers to deploy and validate AI accelerator systems, run multi-node clusters, and automate validation workflows in a hands-on internship.

The role emphasizes Linux, Python tooling, and performance benchmarking, with opportunities to contribute to end-to-end AI solutions and collaborate across hardware, software, and model teams.