HPC Infrastructure & Cluster Engineer - TS/SCI with Polygraph

General Dynamics - IT; Springfield (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401K with company match

Comprehensive health and wellness

Internal mobility team

Paid education and certifications

Cutting-edge technology access

Paid vacation and holidays

Job summary

General Dynamics - IT seeks an Infrastructure & Cluster Engineer to manage a dedicated compute cluster, ensuring high availability, security, and optimized performance for AI/ML workloads.

You will work with OpenShift/Kubernetes, Run:AI, and SLURM to orchestrate workloads while maintaining stringent federal security standards in Springfield, VA.

Qualifications

• 5+ years of Linux systems administration experience.
• Experience in high-performance computing environments.
• Active TS/SCI clearance or ability to obtain CI Poly.

Responsibilities

• Administer and maintain the customer compute cluster and Linux OS.
• Manage resource and job scheduling using Run:AI and SLURM.
• Optimize infrastructure for compute performance and throughput.
• Administer storage and InfiniBand networking for low latency.
• Provision environments and containers with OpenShift/Kubernetes.
• Ensure infrastructure is compliant with federal security standards.

Skills

Linux systems administration

High-performance computing

Automation scripting

Tools

OpenShift

Kubernetes

Run:AI

SLURM

InfiniBand

Python

Bash

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.
• Location: Springfield, VA
• 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.

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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