On-Site AI & HPC Systems Engineer (GPU Infra)

Pennsylvania State University; State College (Centre County); On-site; USD 91,000 - 137,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Retirement plans

Paid time off

Tuition discount

Job summary

Pennsylvania State University’s Institute for Computational and Data Sciences seeks a Research Computing Engineer to design, operate, and optimize GPU, AI, and computing infrastructure used by researchers across the university. This role is on-site at University Park and requires U.S.

citizenship due to access requirements. The role focuses on building scalable systems for machine learning, data-intensive research, and advanced computing workloads, collaborating across GPU, HPC, storage,

Qualifications

• Bachelor’s degree and 3+ years of relevant experience.
• U.S. citizenship required due to access controls.
• Experience Linux admin and scripting (Bash, Python).
• Experience with AI tools to improve workflows.
• Ability to work collaboratively in a technical team.

Responsibilities

• Collaborate across compute, storage, network, and software environments.
• Monitor, automate, and improve AI and HPC systems.
• Design, deploy, and optimize systems using IaC and DevOps.
• Support GPU-accelerated workloads for AI and science.
• Develop solutions for workload requirements with researchers.
• Ensure security, logging, documentation, and compliance.
• Contribute to planning and readiness for new services.
• Maintain up-to-date system documentation and user guidance.
• Evaluate tools and workflows for AI model development at scale.

Skills

GPU nodes

Linux

Bash

Python

Team collaboration

AI tools

Education

Bachelor’s Degree

Tools

Kubernetes

Docker

OpenStack

Warewulf

xCAT

MAAS

OpenCHAMI

Job description

Pennsylvania State University’s Institute for Computational and Data Sciences seeks a Research Computing Engineer to design, operate, and optimize GPU, AI, and computing infrastructure used by researchers across the university. This role is on-site at University Park and requires U.S.

citizenship due to access requirements. The role focuses on building scalable systems for machine learning, data-intensive research, and advanced computing workloads, collaborating across GPU, HPC, storage,