Systems Engineer III / IV - AI Infrastructure & GPU Platform Administrator

MILVETS Systems Technology, Inc.

$100K — $120K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
  • 5+ years of systems administration, infrastructure engineering, or systems engineering experience for Systems Engineer III
  • 8+ years of relevant systems/infrastructure engineering experience for Systems Engineer IV
  • Hands-on experience with VMware, Linux/Windows, enterprise storage, and containers
  • Ability to obtain and maintain a DoD Secret Clearance

Responsibilities

  • Deploy, configure, integrate, and maintain AI infrastructure across compute, storage, virtualization, and operating systems
  • Administer NVIDIA GPU infrastructure including drivers, CUDA, NCCL, GPU allocation, monitoring, and performance optimization
  • Deploy and support containerized AI services using Docker, Kubernetes, K3s, OpenShift, or Rancher
  • Integrate AI services with enterprise storage, networking, authentication, and identity systems
  • Troubleshoot complex infrastructure, GPU, container, operating system, and platform issues
  • Support AI workload deployment, workflow orchestration, testing, production rollout, and operational readiness
  • Develop technical documentation, SOPs, system diagrams, and configuration documentation

Benefits

  • Opportunity to work with modern AI/GPU infrastructure
  • Support mission-critical capabilities in a secure government environment
Full Job Description
Orlando, FL - Hybrid/On-Site as Required | Program: AI as a Service (AIaaS) |Full-Time | Target Start: ASAP | Ability to Obtain/ Maintain DoD Secret Clearance Required | Current Clearance Preferred | U.S. Citizenship Required | Competitive Salary

Position Overview

MILVETS Systems Technology, Inc. is seeking a Systems Engineer III or IV to support the deployment, integration, administration, and sustainment of a secure AI as a Service (AIaaS) environment leveraging the AETHER AI platform.

This is an AI infrastructure and platform engineering position-not an AI/ML development role. The engineer will work across compute, virtualization, storage, operating systems, networking, NVIDIA GPU infrastructure, containers, and enterprise services.

Required Technologies
  • VMware: ESXi, vCenter, virtualization
  • Operating Systems: Linux/RHEL/Ubuntu and Windows Server
  • Storage: SAN, NAS, iSCSI, NFS
  • GPU: NVIDIA GPUs/DGX, NVIDIA drivers, CUDA, NCCL
  • Containers: Docker, Kubernetes, K3s, OpenShift, Rancher
  • Networking: TCP/IP, DNS, VLANs, routing/switching fundamentals
  • Automation: Python, PowerShell, Bash, or REST APIs

Responsibilities
  • Deploy, configure, integrate, and maintain AI infrastructure across compute, storage, virtualization, and operating systems.
  • Administer NVIDIA GPU infrastructure, including drivers, CUDA, NCCL, GPU allocation, monitoring, and performance optimization.
  • Deploy and support containerized AI services using Docker, Kubernetes, K3s, OpenShift, or Rancher.
  • Integrate AI services with enterprise storage, networking, authentication, and identity systems.
  • Troubleshoot complex infrastructure, GPU, container, operating system, and platform issues.
  • Support AI workload deployment, workflow orchestration, testing, production rollout, and operational readiness.
  • Develop technical documentation, SOPs, system diagrams, and configuration documentation.
  • Collaborate with cybersecurity, network, AI, and platform engineering teams to support secure government environments and RMF requirements.

Qualifications

Systems Engineer III
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  • 5+ years of systems administration, infrastructure engineering, or systems engineering experience.
  • Hands-on VMware, Linux/Windows, enterprise storage, and container experience.
  • Strong infrastructure troubleshooting and networking fundamentals.
  • Ability to obtain and maintain a DoD Secret Clearance.

Systems Engineer IV
  • Bachelor's degree in a related technical discipline.
  • 8+ years of relevant systems/infrastructure engineering experience.
  • Demonstrated leadership of infrastructure integration, modernization, deployment, or sustainment efforts.
  • Ability to independently troubleshoot complex enterprise environments.

Preferred
  • Current DoD Secret or higher clearance.
  • Federal/DoD experience.
  • Hands-on NVIDIA DGX/GPU experience.
  • CUDA/NCCL experience.
  • Kubernetes/OpenShift/K3s/Rancher administration.
  • RMF, security hardening, system accreditation, or operational readiness experience.
  • Python, PowerShell, or infrastructure automation experience.
  • AI, HPC, simulation, or other GPU-intensive workload experience.

MILVETS Systems Technology, Inc. offers the opportunity to work with modern AI/GPU infrastructure while supporting mission-critical capabilities in a secure government environment.

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