HPC Infrastructure & Cluster Engineer

General Dynamics Information Technology; Springfield (VA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

401K match

Health benefits

Internal mobility

Education & certifications

Career growth

Paid vacation

Job summary

General Dynamics Information Technology is seeking an Infrastructure & Cluster Engineer to manage the administration, health, and performance of a dedicated customer compute cluster. You will ensure a highly available, secure, and optimized hardware foundation.

Responsibilities include Linux administration, hardware monitoring, Run:AI/SLURM job scheduling, OpenShift/Kubernetes, InfiniBand networks, and automation with Bash/Python. Must have TS/SCI and 5+ years in HPC environments.

Qualifications

• 5+ years of Linux systems administration and infrastructure management in HPC environments.
• Experience with bare-metal servers and enterprise storage.
• Experience with AI orchestration and workload management.
• Automation scripting with Bash or Python.

Responsibilities

• Manage day-to-day operations of the customer compute cluster (Linux admin, patching, upgrades).
• Configure and optimize workload management and orchestration platforms (Run:AI, SLURM).
• Tune performance across hardware, OS, and network levels for efficiency.
• Administer storage and high-speed networks; support InfiniBand GPU-to-GPU topology.]
• Provision environments and containers using OpenShift or Kubernetes; ensure security and compliance.

Skills

Linux systems administration

High-performance computing

Troubleshooting

Tools

Run:AI

SLURM

OpenShift

Kubernetes

Bash

Python

InfiniBand

Job description

Position Summary

We are seeking an Infrastructure & Cluster Engineer to manage the administration, health, and performance of the foundational compute environment under the User Facing and Data Center Services (UDS) contract at GDIT. In this role, you will be responsible for the end-to-end administration of a dedicated customer compute cluster. Your primary mission is to ensure a highly available, secure, and optimized hardware foundation. By maintaining a robust infrastructure, you will directly contribute to the critical technology integration and performance engineering efforts, ensuring a highly reliable platform for integrating and executing complex customer workloads.

Key Responsibilities:

• Cluster Administration: Manage the day-to-day operations of the customer compute cluster, including Linux operating system administration, hardware monitoring, patching, and system upgrades.
• Resource and Job Management: Configure, maintain, and optimize workload management and orchestration platforms, utilizing the Run:AI job scheduler to ensure efficient distribution of intensive AI/ML workloads across the cluster.
• Infrastructure Optimization: Tune cluster performance at the hardware, operating system, and network levels to maximize compute efficiency and data throughput for customer workloads.
• Storage and Network Management: Administer storage solutions and high-speed networking fabrics. Support the transition to and ongoing management of an InfiniBand GPU-to-GPU network infrastructure to minimize latency for distributed operations.
• Environment Configuration: Partner with technology integration teams to provision specific environments, dependencies, and container platforms, specifically leveraging Red Hat OpenShift, required for seamless customer model deployment.
• Security and Compliance: Ensure all infrastructure components remain compliant with federal security standards, implementing strict access controls and maintaining system accreditations.

Basic Qualifications:

• Clearance: Active TS/SCI with the ability to obtain CI Poly.
• Experience: 5+ years of experience in Linux systems administration and infrastructure management with a specific focus on high-performance computing environments.
• Technical Skills:
  • Expertise in managing bare-metal servers, enterprise storage arrays, and advanced network configurations (Experience with InfiniBand).
  • Strong proficiency with workload managers, job schedulers, and AI orchestration tools (e.g., Run:AI, SLURM).
  • Hands-on experience with enterprise container orchestration platforms, specifically OpenShift or Kubernetes.
  • Experience writing automation and configuration scripts (e.g., Bash, Python) to streamline cluster maintenance.
• Troubleshooting Focus: Proven ability to diagnose and resolve complex hardware, network, and OS-level issues.

Preferred Qualifications:

• Familiarity with parallel file systems and high-throughput storage architectures.
• Prior experience engineering or managing high-speed GPU-to-GPU communication topologies.

Location: Springfield, VA

US Citizenship Required

GDIT IS YOUR PLACE:

• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays

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