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INflow Federal

Posted 23 days ago

Open

HPC Infrastructure & Cluster Engineer

Springfield, VAOn-site

AI Summary

Manages a dedicated customer compute cluster for DoW/Joint Force operations, handling Linux administration, hardware monitoring, workload orchestration, and InfiniBand GPU networking to ensure high availability and performance for AI/ML workloads.

About this role

About INflow Federal - founded in 2013, INflow Federal is a mission-driven small business delivering cutting-edge solutions to the Department of War (DoW) and Joint Force operations across 20+ states. Our strength comes from our people - especially the Veterans who make up over 50% of our workforce. Through our Veteran Outreach Program and employee-first culture, we invest deeply in professional growth, well-being, and innovation. Known for our agility, transparency, and integrity, INflow combines real-world experience with emerging technologies like AI/ML to help our customers lead in a rapidly evolving defense landscape. We empower both our employees and mission partners to stay ahead - driving smarter, faster, and more secure outcomes.

Job Overview:


We are seeking an Infrastructure & Cluster Engineer to manage the administration, health, and performance of the foundational compute environmen. 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.

Here, your work is more than a job- it's a journey in innovation. With opportunities to work on high-impact projects, access to the latest technologies, and a culture that thrives on creativity and collaboration, INflow Federal is where your expertise can truly make a difference.

Specific Duties and 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.

    • Required Skills:

  • 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 Skills:

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

    Skills

    Bare-metal Server ManagementBash ScriptingEnterprise Storage ArraysGPU-to-GPU Communication TopologiesHardware MonitoringInfinibandKubernetesLinux Systems AdministrationNetwork ConfigurationParallel File SystemsPython ScriptingRed Hat OpenShiftRun:AISlurmSystem Patching And Upgrades

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