Visiting Scholar - HPC & AI Advanced Development

Hewlett Packard Enterprise • Washington, DC

2d • Remote

About The Position

Visiting Scholar - HPC & AI Advanced Development This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. 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: Open for remote work within US HPE is seeking a motivated and skilled graduate student to join the Advanced Programming Team within the HPC & AI Advanced Development Organization as a visiting scholar. This position is remote within the United States and requires valid U.S. work authorization. The position will be for 3 months starting as early as April 2026. In this role, the visiting scholar will collaboratively solve challenges in the development of workflows for distributed, large-scale data analysis of traces, logs, and telemetry data from simulations and HPC systems. This will include experimentation with AI assistance in such workflows.

Requirements

• Graduate student at a U.S. educational institution
• Actively engaged in research in, or research that makes use of, either: telemetry analysis of large-scale datasets or computational simulations.
• Proficiency in one or more programming languages, such as C, C++, or Python
• Experience in high-performance computing (HPC) or scientific computing
• Experience designing, building, or operating distributed, large-scale systems
• Experience with software engineering workflows, including version control, code reviews, automated testing, and CI/CD pipelines
• Ability to clearly and effectively communicate technical concepts through documentation, presentations, and design discussions
• Strong analytical and problem-solving skills

Nice To Haves

• Experience in one or more of the following areas
• Experience collaborating with scientists or engineers on data science, data analytics, simulations, or modeling.
• Experience with distributed memory parallel programming on supercomputers or large-scale clusters.
• Experience incorporating and fine-tuning LLMs to provide a chat interface for any analysis or development environment.
• Familiarity with performance debugging and optimization at scale.
• Familiarity with Pandas, NumPy, Dask, Spark or other data science technologies

Responsibilities

• Distributed HPC/AI workflow development, experimentation, and testing for enabling interactive processing of large-scale telemetry datasets (terabytes to petabytes).
• Building solutions by composing existing open-source solutions and using distributed and parallel programming approaches for scaling data and simulation size.
• Actively participate in a collaborative, consensus-driven design process.
• Work in an Agile development environment.
• Create documentation, collaborate with users, and present progress in writing, slides, and verbally.

Benefits

• 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.

What This Job Offers

• Career Level: Intern