AI & HPC Systems Engineer for Research Computing

The Pennsylvania State University

State College (Centre County)

On-site

USD 91,000 - 137,000

Full time

6 days ago
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Benefits offered by this job

75% tuition discount
Competitive benefits package

Job summary

Penn State's Institute for Computational and Data Sciences (ICDS) seeks a Research Computing Engineer to design, operate, and optimize GPUs and AI computing infrastructure for researchers across the university. This on-site role supports high-performance computing systems and storage, collaborating with researchers and ICDS staff to enable AI, simulation, and data-intensive science.

The position emphasizes reliability, scalability, and automation, with responsibilities spanning system

Qualifications

  • Bachelor's degree required; 3+ years of relevant experience or equivalent combination of education and experience.
  • Experience administering multi-GPU compute environments and Linux-based HPC clusters.
  • Strong scripting in Bash and Python; working knowledge of DevOps practices.

Responsibilities

  • Collaborate with users and vendors to diagnose issues across compute, storage, networking, and software environments.
  • Monitor, maintain, automate, and improve AI and HPC systems and supporting infra.
  • Design, deploy, operate, and optimize systems using infrastructure-as-code practices.
  • Support GPU-accelerated computing environments for AI/ML workloads.
  • Engage with researchers to understand workload requirements and develop engineering solutions.

Skills

Linux environment
Bash
Python
GPU nodes management
DevOps
AI tooling
Team collaboration
Strong communication

Education

Bachelor's Degree

Tools

xCAT
Warewulf
OpenStack/Bifrost
Kubernetes
Docker
Apptainer
Podman
Slurm
PBS
HTCondor
LSF
GPFS/Lustre
Ceph
InfiniBand

Job description

Penn State's Institute for Computational and Data Sciences (ICDS) seeks a Research Computing Engineer to design, operate, and optimize GPUs and AI computing infrastructure for researchers across the university. This on-site role supports high-performance computing systems and storage, collaborating with researchers and ICDS staff to enable AI, simulation, and data-intensive science.

The position emphasizes reliability, scalability, and automation, with responsibilities spanning system

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