HPC & AI Systems Process Improvement Intern - Onsite

Hewlett Packard Enterprise Development LP; Northern (KY); Hybrid; USD 22,000 - 40,000; Full time

Job summary

Hewlett Packard Enterprise invites students and recent graduates to join the HPC/AI Systems Service team as a Process Improvement Engineer Intern. This onsite role supports CI process creation and modification, site process alignment, and documentation, while collaborating with the Americas Tech Advisor and team members through various communication channels.

You will participate in hands-on hardware tasks, review relevant tickets, and gain exposure to compute hardware, networks, and storage

Qualifications

• Currently pursuing a Bachelor’s degree in Industrial, Manufacturing, or a related technical field.
• Familiarity with AI tools for process automation (e.g., Copilot, GitHub) is a plus.

Responsibilities

• Review and execute CI process creation and modification in case management, site process alignment, and documents.
• Collaborate with team via face-to-face, phone, and online communication (email, Teams, Slack).
• Assist with hands-on hardware and system installation activities when needed.
• Review tickets for hardware actions and document/pass on actions.
• Read system documentation and diagrams to identify components within the system.
• Support senior team members on technical projects and learn new technologies.

Skills

HPC

Process improvement

Communication

Problem solving

Time management

Team collaboration

Education

Bachelor’s degree in Industrial/Manufacturing or related field

Job description

Hewlett Packard Enterprise invites students and recent graduates to join the HPC/AI Systems Service team as a Process Improvement Engineer Intern. This onsite role supports CI process creation and modification, site process alignment, and documentation, while collaborating with the Americas Tech Advisor and team members through various communication channels.

You will participate in hands-on hardware tasks, review relevant tickets, and gain exposure to compute hardware, networks, and storage