About the role#
As an AI Performance Engineering Intern, you will join our team to evaluate and optimize AI system performance. You will contribute to the design of test plans and execute experiments to characterize system behavior. This role requires a balance of technical execution, collaboration, and clear communication to ensure project progress.
What you'll do#
- Design and create test plans to evaluate AI system performance.
- Execute experiments to understand the performance characteristics of systems under test.
- Use profiling and monitoring tools to characterize system performance.
- Collaborate with team members to report on progress, share status updates, and resolve issues.
What you'll need#
- Current enrollment in a B.S. program for Computer Science, Applied Mathematics, Software Engineering, or a related field.
- Coursework or experience with GPU hardware architectures (NVIDIA/AMD) and parallel programming techniques.
- Knowledge of parallel programming methods like NCCL/RCCL, NVSHMEM, or OpenSHMEM.
- Proficiency in Python and familiarity with Linux operating systems, scripting, and performance monitoring tools.
- Background in AI applications and programming models such as PyTorch or TensorFlow.
- Understanding of LLM parallelization methods including TP/PP/DP and EP/MoE.
- Experience with GPU profiling tools like NVIDIA Nsight or AMD rocprof, and familiarity with CUDA/ROCm.
- Experience with AI clusters, job schedulers (PBS, Slurm), and containerization (Docker/Apptainer).
- Familiarity with inference serving engines like vLLM or Ollama and industry benchmarks such as MLPerf.
- Strong analytical, problem-solving, and organizational skills with the ability to multitask.
- Excellent written and verbal communication skills with mastery of the English language.
Location & details#
- Location: Spring, Texas, United States
- Modality: On-site
- Employment type: Full-time
- Term: Rolling
About Hewlett Packard Enterprise
Hewlett Packard Enterprise operates as a public IT services and consulting company. It functions as an edge-to-cloud business. The company maintains its headquarters in Houston, Texas. It employs 92,729 people across its global operations.
How to get in at Hewlett Packard Enterprise
Applying early to Hewlett Packard Enterprise gives you a distinct advantage because recruiters review applications before the volume becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, helping you stay at the front of the line. You will find that getting your materials in early often results in a more thorough review. Applying to a large firm can feel like shouting into a void, but timing is one factor you can control. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the position or a referral. This direct approach materially improves your response rates compared to submitting through a general portal. Connecting with a human recruiter shows you have done your homework, which is a helpful edge when you are competing for a spot.
