GPU-Accelerated AI Performance Intern

Hewlett Packard Enterprise Company; Spring (TX); On-site; USD 48,000 - 56,000; Full time

Job summary

Hewlett Packard Enterprise invites applications for an AI Performance Engineering Intern. This onsite role focuses on designing test plans, running experiments, and profiling AI systems to understand performance characteristics. You will collaborate with a team to track progress and resolve issues.

The position targets students pursuing a B.S. in CS/Applied Math/Software Eng, with experience in GPU architectures, PyTorch/TensorFlow, and Linux scripting.

Qualifications

• Pursuing a B.S. in computer science, applied mathematics, software engineering or equivalent.
• Coursework/experience with GPU hardware architectures and parallel programming (NCCL/RCCL, NVSHMEM, or OpenSHMEM).

Responsibilities

• Design and create test plans to understand an AI system's performance.
• Create and execute experiments to understand performance characteristics of the system under test (SUT).
• Use profiling and monitoring tools to assist with performance characterization of the SUT.
• Collaborate with team members regarding status, project progress, and issue resolution.

Skills

Python

PyTorch

TensorFlow

CUDA

Linux

NVIDIA Nsight

Apptainer

Docker

Education

B.S. in CS/Applied Math/Software Eng (in progress)

Tools

Docker

Apptainer

NVIDIA Nsight

Job description

Hewlett Packard Enterprise invites applications for an AI Performance Engineering Intern. This onsite role focuses on designing test plans, running experiments, and profiling AI systems to understand performance characteristics. You will collaborate with a team to track progress and resolve issues.

The position targets students pursuing a B.S. in CS/Applied Math/Software Eng, with experience in GPU architectures, PyTorch/TensorFlow, and Linux scripting.