AI Performance Engineering Intern

Hewlett Packard Enterprise; Spring (TX); Sur place; USD 48 000 - 56 000; Temps partiel

Avantages offerts par ce poste

Health benefits

Career development programs

Inclusive culture

Résumé du poste

Hewlett Packard Enterprise invites university students pursuing a technical Bachelor's degree to join our AI Performance Engineering Intern program. You will help design test plans, run experiments, and profile AI systems on GPU clusters using Docker/Apptainer.

Strong Python skills and knowledge of CUDA, ML frameworks, and HPC tools are required. This onsite internship offers exposure to cutting-edge AI workloads and collaboration with experienced engineers.

Qualifications

• Working toward B.S. 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/languages, including PyTorch/TensorFlow
• Proficiency in Python
• Understanding of LLM parallelization methods TP/PP/DP, EP (MoE) is a plus
• Experience with AI clusters using job schedulers (e.g., PBS, Slurm) is a plus
• Experience with GPU clusters using Docker or Apptainer Containers is a plus
• Experience with GPU profiling using NVIDIA Nsight or AMD rocprof is a plus
• Proficiency with CUDA/ROCm is a plus
• Proficiency with Linux, scripting, and performance monitoring tools
• Experience with AI benchmarks (MLPerf) is a plus
• Strong organizational skills and attention to detail
• Excellent written and verbal communication skills
• Integrity, customer focus, teamwork and accountability in daily work

Responsabilités

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

Connaissances

Python

AI/ML concepts

CUDA/ROCm

Linux scripting

Performance profiling

TensorFlow/PyTorch

Team collaboration

Formation

Bachelor's degree in Computer Science or related field

Outils

Docker

Apptainer

PBS/Slurm

NVIDIA Nsight

rocprof

Description du poste

AI Performance Engineering Intern

This role has been designed as ''Onsite' 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 at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

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 (SUT).


• Use profiling and/or monitoring tools to assist with the performance characterization of the SUT.


• Collaborate with team members regarding status, project progress, and issue resolution.

Education and Experience Required:

• Working toward B.S. in Computer Science, Applied Mathematics, Software Engineering or equivalent


• Coursework and experience with GPU (NVIDIA/AMD) hardware architectures and parallel programming techniques, including parallel programming methods such as NCCL/RCCL, NVSHMEM, or OpenSHMEM

Knowledge and Skills:

• Background with AI applications and their programming models/languages, including PyTorch/TensorFlow


• Proficiency in Python


• Deep understanding of LLM parallelization methods TP/PP/DP, and especially EP (MoE) is a plus


• Experience with using inference serving engines (e.g. vLLM, Ollama) is a plus


• Experience with AI clusters using job schedulers (e.g., PBS, Slurm) is a plus


• Experience on GPU-based AI clusters with Docker or Apptainer Containers is a plus


• Experience with GPU profiling using NVIDIA Nsight or AMD rocprof is a plus


• Proficiency with CUDA/ROCm is a plus


• Proficiency with the Linux operating systems, scripting, and knowledge of performance monitoring tools


• Experience with AI industry standard benchmarks (MLPerf) is a plus


• Self-driven, solid work ethic, and motivation


• Ability to multi-task with strong organizational skills and attention to detail


• Excellent analytical and problem-solving skills


• Integrity, customer focus, innovation, teamwork, and accountability in daily work


• Ability to work in a fast-paced, multitasking environment


• Excellent written and verbal communication skills. Mastery of the English language is required.

Impact/Scope:

• University students actively enrolled in a university/college/institution pursuing a Bachelor's degree in a technical area of study, and who typically works during school breaks and then returns to their university. While this applies to most interns, there may be opportunities for full-time students to work as part-time interns during the school year in some countries.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#interns

Job:

Administration

Job Level:

N/A

The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

United States of America: Hourly Salary USD 35.00 - 41.00 in Texas

The listed salary range reflects base salary. Variable incentives may also be offered.

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.