Applied Insight

  • High Performance Computing (HPC) Engineer

    Job Locations US-FL-Fort Walton Beach
    Posted Date 4 months ago(9/10/2018 4:44 PM)
    Job ID
    # of Openings
    Information Technology
  • Overview

    At Applied Insight, we leave no stone unturned in solving our customers’ technology challenges. Supporting the Federal Government with the strongest mission focus, our solutions empower people to collaborate more effectively in delivering services vital to the nation. Our unique approach to information technology considers people first. We make it our job to understand our customer’s mission and the user’s reality right from the start, combining technology and process to deliver what customers really need to succeed – from adaptation to innovation – drawing on our long experience of supporting the US Defense, Intelligence and Federal Civilian communities.


    Applied Insight is seeking a HPC Systems Engineer at Eglin AFB in Fort Walton Beach, FL.


    The High Performance Computing Engineer works on a team of specialized individuals responsible for the architecture, design, implementation, monitoring, support, and maintenance of Information Services high performance computing (HPC) systems, including networking and cluster interconnects. This team is responsible for the scalability, redundancy, performance, and functionality of all aspects of computing clusters and servers including upgrades, customization, and system integration. Experience on system integration activities, SAN storage administrators, database administrators, software developers, network operations, and data center operations.


    • Active Secret clearance
    • Experience with Linux/Redhat 
    • 5 - 7 years’ experience supporting High Performance Cluster (HPC) platforms in Virtualized environment 
    • Experience with managing, supporting, and profiling Linux and HPC workloads with system-level tools
    • Experience supporting systems and applications infrastructure within a virtual infrastructure 


    • Experience with GPFS (Spectrum Scale) parallel file systems within an HPC context 
    • Experience in container technology (Docker, Kubernetes, OpenShift, Singularity) 
    • Experience with cloud computing and storage services in a research computing context 
    • Experience with  cluster is based on Dell C series servers, C6320 and C6420 servers CPU nodes as well as C4130/4140 GPU nodes


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