AI HPC Systems Engineer for Research Computing

Penn State University

University Park (TX)

On-site

USD 91,000 - 137,000

Full time

14 days+
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Benefits offered by this job

75% tuition discount

Job summary

Penn State University’s Institute for Computational and Data Sciences (ICDS) seeks a Research Computing Engineer to design, operate, and optimize GPU and AI computing infrastructure used by researchers across the university, along with the high-performance computing systems that support it.

The position will be filled at the Research Computing Systems Engineer - Advanced Professional level and requires on-site work at University Park with no remote option.

Qualifications

  • Bachelor’s degree or equivalent in a related field and 3+ years of relevant experience.
  • Experience administering multi-GPU compute nodes and GPU health tuning.
  • Strong Linux, Bash, and Python scripting abilities.
  • Ability to work effectively in a collaborative, fast-paced research environment.

Responsibilities

  • Collaborate with researchers and staff to diagnose and resolve compute, storage, and network issues.
  • Monitor, automate, and improve AI/HPC systems and infrastructure.
  • Design and deploy systems with DevOps and infrastructure-as-code practices.
  • Support GPU-accelerated workloads for AI and scientific computing.
  • Maintain documentation and ensure security/compliance for federal research environments.
  • Contribute to planning and readiness for new services and infrastructure.

Skills

Multi-GPU nodes management
Linux administration
Bash scripting
Python scripting
DevOps / IaC
Team collaboration
AI tooling familiarity

Education

Bachelor’s Degree

Tools

Kubernetes
xCAT
OpenStack/Bifrost
Docker
GPFS/Lustre storage experience

Job description

Penn State University’s Institute for Computational and Data Sciences (ICDS) seeks a Research Computing Engineer to design, operate, and optimize GPU and AI computing infrastructure used by researchers across the university, along with the high-performance computing systems that support it.

The position will be filled at the Research Computing Systems Engineer - Advanced Professional level and requires on-site work at University Park with no remote option.

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