AI Infrastructure & GPU Platform Administrator

Loyola Enterprises Incorporated
Orlando, FL, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$150,000.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Windows Artificial Intelligence Systems Engineering User Authentication Nvidia CUDA Data Stores Linux VMware ESX Servers Internet Small Computer System Interface (ISCSI) Windows Servers Networking Basics OpenShift
+14 more
Performance Tuning Remote Access Technology System Testing Virtualization Technology AI Infrastructure Containerization AI Platforms Kubernetes Rancher Vcenter Enterprise Integration Data Management Hardware Infrastructure Docker

Job description

Loyola Enterprises, Inc. is seeking a Systems Engineer III to support deployment, integration, and sustainment of a centralized AI as a Service (AIaaS) environment leveraging the AETHER AI platform. The position is focused on systems engineering, infrastructure integration, administration, performance optimization, and sustainment - not AI model development. The engineer will administer and integrate compute, storage, virtualization, GPU resources, containers, and supporting services within a secure Government environment, working closely with cybersecurity engineers, AI engineers, network engineers, and platform architects., Infrastructure Integration Engineering

  • Integrate AETHER into existing VMware ESXi and virtualized infrastructure environments.
  • Provision, configure, and maintain Linux- and Windows-based AI infrastructure hosts.
  • Integrate AI services with enterprise storage, networking, authentication, and identity management systems.
  • Configure storage backends supporting large-scale simulation artifacts, AI data repositories, and workflow execution.
  • Implement and optimize remote access solutions supporting distributed users and administrators.
  • Support capacity planning, infrastructure sustainment, and lifecycle management activities.
  • Perform system administration duties across compute, storage, virtualization, and AI platform resources.

GPU Platform Administration

  • Deploy and maintain NVIDIA GPU infrastructure supporting AI workloads.
  • Install, configure, and validate NVIDIA drivers, CUDA, NCCL, and GPU runtime environments.
  • Configure and manage GPU allocation and multi-tenant resource sharing.
  • Support containerized AI services utilizing Docker, Kubernetes, K3s, Rancher, or similar technologies.
  • Monitor GPU utilization, performance, and capacity.
  • Troubleshoot GPU, container, and operating system interactions.
  • Optimize GPU resources for concurrent AI inference and workflow execution.

AI Platform Operations

  • Deploy and configure AI workloads within the AETHER platform.
  • Integrate AI models and workflows into operational environments.
  • Support workflow execution, automation, and orchestration activities.
  • Validate AI platform performance under operational load.
  • Assist with production rollout, acceptance testing, and operational readiness activities.
  • Develop and maintain technical documentation, standard operating procedures, and system diagrams.

Collaboration

  • Work with cybersecurity personnel to implement secure configurations and RMF requirements.
  • Support system testing, validation, and accreditation activities.
  • Participate in system engineering reviews and technical planning efforts.
  • Support issue resolution, root cause analysis, and system troubleshooting.

Requirements

  • 5+ years of systems administration, infrastructure engineering, or systems engineering experience.
  • Experience with VMware ESXi, vCenter, or equivalent virtualization platforms.
  • Experience administering Windows Server and Linux operating systems.
  • Experience with enterprise storage technologies (SAN, NAS, iSCSI, NFS).
  • Experience troubleshooting enterprise infrastructure environments.
  • Strong understanding of networking fundamentals.
  • Experience supporting containerized environments such as Docker, Kubernetes, K3s, OpenShift, Rancher, or similar technologies., * Current DoD Secret clearance., * Do you have 5+ years of systems administration, infrastructure engineering, or systems engineering experience.
  • Do you have Experience with VMware ESXi, vCenter, or equivalent virtualization platforms.
  • Do you have Experience administering Windows Server and Linux operating systems.
  • Do you have Experience with enterprise storage technologies (SAN, NAS, iSCSI, NFS).
  • Do you have experience troubleshooting enterprise infrastructure environments.
  • Do you have experience supporting containerized environments such as Docker, Kubernetes, K3s, OpenShift, Rancher, or similar technologies.

Benefits & conditions

Loyola is a certified Service Disabled Veteran and Minority Owned Small Disadvantaged Business

SDVOSB, VOSB, MOSB and SDB

Pay: From $150,000.00 per year, * 401(k)

  • 401(k) matching
  • Dental insurance
  • Flexible schedule
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Referral program
  • Tuition reimbursement
  • Vision insurance

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