Onsite AI Performance Engineer Intern

Hewlett Packard Enterprise Development LP; Spring (TX); On-site; USD 4,822,000 - 5,648,000; Full time

Benefits offered by this job

Health & wellbeing benefits

Professional development programs

Inclusive work culture

Job summary

Hewlett Packard Enterprise invites University students to join as an AI Performance Engineering Intern in Texas. This onsite role focuses on designing test plans, executing experiments, and profiling AI systems to understand performance characteristics.

Strong background in Python and GPU architectures, with experience in PyTorch/TensorFlow, and familiarity with AI benchmarks and cluster workflows is valued.

Qualifications

• Pursuing a B.S. in Computer Science, Applied Mathematics, Software Engineering or equivalent coursework.
• Experience with GPU hardware architectures and parallel programming concepts.

Responsibilities

• Design and create test plans to evaluate AI system performance.
• Create experiments to understand performance characteristics of the system under test.
• Use profiling and monitoring tools for performance characterization.
• Collaborate with team on status, progress and issue resolution.

Skills

Python

CUDA

GPU architectures

PyTorch

TensorFlow

NCCL/RCCL

MLPerf

Docker

Apptainer

NVIDIA Nsight

Education

Bachelor’s in CS/Math/Engineering

Tools

Docker

Apptainer

NVIDIA Nsight

rocprof

PBS

Slurm

Job description

Hewlett Packard Enterprise invites University students to join as an AI Performance Engineering Intern in Texas. This onsite role focuses on designing test plans, executing experiments, and profiling AI systems to understand performance characteristics.

Strong background in Python and GPU architectures, with experience in PyTorch/TensorFlow, and familiarity with AI benchmarks and cluster workflows is valued.