HPC Infrastructure & Cluster Engineer

General Dynamics

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Springfield, VA
Salary
$119,850–$162,150 / yr
Posted
54 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $188k
This role $141k
$106k $248k
below market most similar roles pay here above market

This role pays less than 90% of similar roles. Most pay $145,450–$231,150 — the blue band above. At the midpoint, this role pays about $141k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About General Dynamics

General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.

General Dynamics currently has 1377 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 1184 roles with salary data.

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At a glance

TL;DR · HPC Infrastructure & Cluster Engineer

The HPC Infrastructure & Cluster Engineer joins the User Facing and Data Center Services team to manage the administration, health, and performance of a dedicated customer compute cluster. This role involves end-to-end administration of a high-performance computing environment, ensuring a highly available and secure hardware foundation for complex customer workloads. Key responsibilities include Linux operating system administration, hardware monitoring, patching, and system upgrades. The engineer will optimize workload management using the Run:AI job scheduler and manage storage area networks and high-speed InfiniBand GPU-to-GPU network infrastructures. Technical requirements include proficiency with bare-metal servers, enterprise storage arrays, Red Hat OpenShift, and Kubernetes. Candidates must also possess skills in writing automation scripts using Bash and Python to streamline cluster maintenance and ensure federal security compliance.

What you'll do

  • Manage day-to-day operations of the customer compute cluster including Linux administration, hardware monitoring, and patching.
  • Configure and optimize workload management platforms using the Run:AI job scheduler for AI/ML workloads.
  • Tune cluster performance at the hardware, operating system, and network levels to maximize data throughput.
  • Administer storage solutions and high-speed networking fabrics, specifically InfiniBand GPU-to-GPU networks.
  • Provision specific environments, dependencies, and container platforms using Red Hat OpenShift.
  • Maintain infrastructure compliance with federal security standards by implementing strict access controls and system accreditations.
  • Write automation and configuration scripts in Bash or Python to streamline cluster maintenance.
  • Diagnose and resolve complex hardware, network, and OS-level issues within the high-performance computing environment.

What we're looking for

  • Must be a US Citizen.
  • Must currently possess an active Top Secret/SCI clearance with the ability to obtain a CI Polygraph.
  • Must have 5+ years of experience in Linux systems administration and infrastructure management with a focus on high-performance computing.
  • Must have expertise in managing bare-metal servers, enterprise storage arrays, and advanced network configurations including InfiniBand.
  • Must have strong proficiency with workload managers, job schedulers, and AI orchestration tools such as Run:AI or SLURM.
  • Must have hands-on experience with enterprise container orchestration platforms, specifically OpenShift or Kubernetes.
  • Must have experience writing automation and configuration scripts using Bash or Python.
  • Familiarity with parallel file systems and high-throughput storage architectures (preferred).
  • Prior experience engineering or managing high-speed GPU-to-GPU communication topologies (preferred).

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