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HPC Infrastructure and Cluster Engineer

Arena Technical Resources, LLC

Springfield, VAJob$180–200K/yrSeen 1mo agoSeen in employer's feed 2 days ago

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At a glance

Compensation
$180–200K/yr
Location
Springfield, VA
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

TS/SCI clearanceBachelor's degree

Job overview

Arena Technical Resources seeks an Infrastructure & Cluster Engineer to manage administration, health, and performance of a dedicated customer compute cluster, ensuring high availability, security, and optimized hardware for AI/ML workloads.

Skills & qualifications

RequiredNice to have

Skills

Linux Systems AdministrationHigh Performance ComputingBare Metal Server ManagementEnterprise Storage ArraysInfiniBandRun:AISLURMOpenShiftKubernetesBashPythonTroubleshootingHardware DiagnosticsNetwork Configuration

Qualifications

Active TS/SCI ClearanceBachelors Degree in Computer Science or Related Field

Full job description

HPC Infrastructure and Cluster Engineer

Location: Springfield, VA, US

Job ID: ATR 18077

Job Description

Job Title: HPC Infrastructure and Cluster Engineer

Job Location: Springfield, VA

Compensation: $180,000 - $200,000

Eligibility/Clearance: Candidate must possess an active TS/SCI Clearance

and the ability to obtain a CI Polygraph

Job Description:

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. 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.

Skills/Qualifications:

Required:

Experience:

  • 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.

Desired:

  • Familiarity with parallel file systems and high-throughput storage

architectures.

  • Prior experience engineering or managing high-speed GPU-to-GPU

communication topologies.

Education:

Bachelors Degree in Computer Science or a related field

ATR is an Equal Opportunity Employer (EOE) who will provide equal

employment opportunity to employees and applicants for employment

without regard to race, ethnicity, religion, color, sex, pregnancy,

national origin, age, veteran status, ancestry, sexual orientation,

gender identity or expression, marital status, family structure, genetic

information, or mental or physical disability

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