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AI & HPC Performance Engineering Intern

Hewlett Packard EnterpriseSpring, TXPosted 15 hours ago

Pay
$35 – $41
per hour
Type
Internship
Full time
Where
Spring, TX
Who
Bachelor's
Students
Apply by
Nov 15, 2026
Date from the posting

About the job

This role is designed as an onsite position, with an expectation that you will primarily work from an HPE office.

Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes. Our culture values new and better ways to accelerate what is next, and varied backgrounds are valued and succeed here.

Job Description

Responsibilities

  • Support senior team members on assigned technical projects as determined by the business unit.
  • Help identify and troubleshoot technical issues, providing support and suggesting solutions.
  • Assist with maintaining and updating hardware, software, and other technical systems.
  • Take part in team meetings, learn project methodologies, and collaborate effectively with colleagues.
  • Keep learning about new technologies and methodologies relevant to your work.
  • Complete tasks and responsibilities assigned by a supervisor in a timely and efficient manner.
  • Take part in periodic reviews to share updates and incorporate feedback on assigned projects and initiatives.

Knowledge and Skills

  • Linux system administration and command-line work across multiple enterprise Linux distributions.
  • AI model training, inference, benchmarking, performance characterization, and optimization.
  • Strong analytical, troubleshooting, and root-cause analysis skills.
  • Basic programming or scripting knowledge (e.g., Python, Java, C++).
  • Strong interest in high-tech and a passion for learning.
  • Excellent communication and interpersonal skills.
  • Time management skills and the ability to work with strict deadlines.
  • A collaborative, solution-focused mindset with a strong sense of urgency.

Nice-to-Have Skills

  • Basic knowledge of GPU accelerator technologies, memory hierarchies, and AI software stacks including CUDA, NCCL, and related ecosystem tools.
  • Basic knowledge of high performance computing (HPC), MPI and Linux clusters.

Impact and Scope

This role is for university students actively enrolled in a college or institution pursuing a Bachelor's degree in a technical area of study, who typically work during school breaks and then return to their university.

What We Can Offer You

HPE offers a comprehensive suite of health and wellbeing benefits that support physical, financial and emotional wellbeing. The company also invests in personal and professional development programs, and promotes an unconditionally inclusive workplace.

Skills mentioned

  • Python
  • Linux
  • HPC
  • CUDA
  • GPU Computing
  • MPI

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