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Hewlett Packard Enterprise

Builds servers, networking and private cloud

AI Performance Engineering Intern

Performance TestingConfirmed live in the last 24 hours
InternshipSpring, TX, USA

About the Job

Requirements

  • Working toward a Bachelor of Science in Computer Science, Applied Mathematics, Software Engineering, or equivalent.
  • Coursework and experience with GPU hardware architectures and parallel programming techniques, including NCCL/RCCL, NVSHMEM, or OpenSHMEM.
  • Background with AI applications and their programming models and languages, including PyTorch or TensorFlow.
  • Proficiency in Python.
  • Proficiency with Linux operating systems, scripting, and performance monitoring tools.
  • Mastery of the English language.
  • Ability to multitask in a fast-paced environment, with organizational skills, attention to detail, analytical and problem-solving skills, and written and verbal communication skills.

Responsibilities

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

Desired Qualifications

  • Deep understanding of LLM parallelization methods, including TP, PP, DP, and especially EP (MoE).
  • Experience using inference serving engines such as vLLM or Ollama.
  • Experience with AI clusters using job schedulers such as PBS or Slurm.
  • Experience with GPU-based AI clusters using Docker or Apptainer containers.
  • Experience with GPU profiling using NVIDIA Nsight or AMD rocprof.
  • Proficiency with CUDA or ROCm.
  • Experience with AI industry-standard benchmarks such as MLPerf.

About the Company

Hewlett Packard Enterprise

Builds servers, networking and private cloud

Hewlett Packard Enterprise sells servers, storage, networking and hybrid cloud software to large companies, governments and service providers. Its GreenLake platform lets customers run on-premises hardware as a metered cloud service, and its Cray supercomputers run national lab and AI training workloads. The networking business, built on Aruba and Juniper Networks, supplies campus, data-center and routing equipment. Revenue comes from hardware sales, multiyear support contracts, financing and subscriptions. The company traces its roots to Hewlett-Packard, founded in 1939, became a separate public company in 2015 and is headquartered in Houston, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Houston, TX
Founded
1939

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