Network & Data Center Engineer for AI/ML Research Infra

The University of Texas at Austin; Austin (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

The University of Texas at Austin is seeking a Network and Data Center Engineer for the School of Computing on the UT Main Campus. You will administer and support the School's network, data center, and computing hardware infrastructure, and work closely with campus IT teams on shared services.

The role supports research computing infrastructure, including HPC and AI/ML systems; while not responsible for operating systems or software, experience with HPC environments is strongly desired.

Qualifications

• Experience with network infrastructure including switches, routers, and firewalls.
• Ability to diagnose connectivity and security issues.
• Strong documentation and collaboration skills.

Responsibilities

• Configure, operate, monitor, maintain, and troubleshoot School-managed network infrastructure, including switches, routers, firewalls, VLANs, and network segmentation.
• Diagnose and resolve connectivity, routing, performance, and network security issues, coordinating with University networking and security teams when appropriate.
• Implement network upgrades, configuration changes, capacity improvements, and equipment replacements.
• Participate in the design and planning of network improvements and new infrastructure.
• Work with University networking staff to troubleshoot wireless issues and assess coverage, capacity, and upgrade needs.
• Maintain network diagrams, configurations, addressing information, and related technical documentation.

Skills

Network engineering

Data center operations

Troubleshooting

Documentation

Job description

The University of Texas at Austin is seeking a Network and Data Center Engineer for the School of Computing on the UT Main Campus. You will administer and support the School's network, data center, and computing hardware infrastructure, and work closely with campus IT teams on shared services.

The role supports research computing infrastructure, including HPC and AI/ML systems; while not responsible for operating systems or software, experience with HPC environments is strongly desired.