{"schemaVersion":"jobsearcher.job.v1","id":"14bfaaf271f21ceda836aabf","url":"https://jobsearcher.com/jobs/14bfaaf271f21ceda836aabf","canonicalUrl":"https://jobsearcher.com/jobs/14bfaaf271f21ceda836aabf","title":"HPC Systems Engineer","description":"All hired employees are expected to have experience with Microsoft Copilot and / or an approved equivalent AI solution.\nDescription:\nData Systems Analysts, Inc. (DSA) is seeking a TS/SCI cleared HPC Systems Engineer to build and support advanced computing environments in a secure research and development setting. The HPC Systems Engineer will assist with the installation, configuration, and sustainment of high performance computing (HPC) clusters used for distributed simulation workloads, scientific computing, and GPU enabled processing.\nThe Engineer will work with infrastructure teams to configure, integrate, and sustain HPC cluster platforms including job schedulers, cluster provisioning systems, high speed interconnects, and distributed compute nodes. This role focuses on platform level troubleshooting, automation, and performance optimization to ensure HPC systems operate reliably and efficiently for mission users.\nThe position requires strong Linux systems engineering and administration skills, scripting experience, and familiarity with HPC technologies such as cluster schedulers, distributed computing frameworks, high performance networking, and GPU compute environments.\nThis position is onsite in Charlottesville, VA.\n\nResponsibilities:\nSupport installation, configuration, and sustainment of HPC cluster environments including compute nodes, schedulers, and supporting infrastructure.\nConfigure and maintain HPC job schedulers such as Slurm or PBS, including queue configuration, resource allocation policies, and job scheduling optimization.\nSupport containerized workloads using technologies such as Docker, Podman, or Singularity/Apptainer within HPC cluster environments.\nAssist with cluster provisioning and node management using tools such as xCAT, Warewulf, or similar deployment frameworks.\nAssist with initial cluster build out activities including compute node integration, scheduler configuration, and validation of cluster provisioning systems.\nTroubleshoot hardware, operating system, scheduler, and networking issues impacting HPC cluster performance.\nSupport configuration and performance troubleshooting of high performance networking technologies including RDMA capable interconnects such as InfiniBand.\nAssist with integration of compute nodes and hardware components into existing cluster environments.\nDevelop automation and operational tooling using Bash, Python, or similar scripting languages.\nSupport authentication and access controls using enterprise identity solutions such as LDAP or Kerberos.\nAnalyze system performance and identify bottlenecks impacting compute throughput across compute, storage, and network layers supporting distributed parallel workloads (MPI/OpenMP).\nSupport GPU enabled compute environments and ensure compatibility with CUDA based workloads and distributed GPU processing frameworks.\nCoordinate with government engineering teams to identify configuration issues and recommend improvements to cluster performance, stability, and scalability.\nMaintain documentation for cluster configurations, system procedures, and operational troubleshooting.\nProvide technical guidance on HPC best practices and system configuration to support mission workloads.\n\nRequired Education, Certifications and Security Clearance:\nBS degree in Engineering, Computer Science, or related STEM field\nExperience may be substituted for degree\nTS/SCI Clearance\nAbility to obtain DoD 8140 (8570) IAT Level II certification\n\nRequired Experience/Qualifications:\nMinimum 6 years of experience administering Linux based systems in enterprise, research computing, or distributed compute environments, including configuration and troubleshooting of multi-node systems.\nExperience supporting distributed compute environments utilizing workload schedulers such as Slurm, PBS, Torque, Grid Engine, or similar resource management platforms.\nExperience supporting multi-node compute environments or HPC cluster platforms.\nProfessional experience administering Linux systems through command line interfaces (RHEL derivatives preferred).\nExperience with scripting and automation using Bash, Python, or similar languages.\nExperience troubleshooting server hardware, operating systems, and distributed computing environments.\nFamiliarity with cluster networking concepts and high speed interconnect technologies.\nExperience diagnosing system performance issues across compute, networking, and storage layers.\nStrong troubleshooting and documentation skills.\nActive TS/SCI security clearance.\n\nPreferred Experience/Qualifications:\nExperience administering multi-node HPC clusters supporting distributed compute workloads.\nExperience with parallel or distributed file systems such as Lustre, BeeGFS, GPFS, or similar high throughput storage platforms used in HPC environments.\nExperience supporting parallel computing frameworks such as MPI or OpenMP in distributed cluster environments.\nExperience with configuration management tools such as Ansible or Puppet.\nExperience working in DoD/DoW, or IC computing environments.\nExperience supporting HPC systems in research, laboratory, or mission computing environments.\nExperience supporting GPU enabled compute environments and CUDA based workloads.\nFamiliarity with hybrid compute architectures integrating on-prem HPC clusters with cloud compute resources (e.g., AWS HPC services).\n#DSA209\n#LI-KE1\n\nMany of DSA's positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. DSA is proud to be an Equal Opportunity Employer. DSA is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. DSA requires background checks , where permitted , by law. DSA is an E-Verify Employer.","company":"Data Systems Analysts","rawCompany":"data systems analysts","city":"Charlottesville","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T11:22:39.758Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541513","title":"Computer Facilities Management Services","slug":"computer-facilities-management-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"HPC Systems Engineer","description":"All hired employees are expected to have experience with Microsoft Copilot and / or an approved equivalent AI solution.\nDescription:\nData Systems Analysts, Inc. (DSA) is seeking a TS/SCI cleared HPC Systems Engineer to build and support advanced computing environments in a secure research and development setting. The HPC Systems Engineer will assist with the installation, configuration, and sustainment of high performance computing (HPC) clusters used for distributed simulation workloads, scientific computing, and GPU enabled processing.\nThe Engineer will work with infrastructure teams to configure, integrate, and sustain HPC cluster platforms including job schedulers, cluster provisioning systems, high speed interconnects, and distributed compute nodes. This role focuses on platform level troubleshooting, automation, and performance optimization to ensure HPC systems operate reliably and efficiently for mission users.\nThe position requires strong Linux systems engineering and administration skills, scripting experience, and familiarity with HPC technologies such as cluster schedulers, distributed computing frameworks, high performance networking, and GPU compute environments.\nThis position is onsite in Charlottesville, VA.\n\nResponsibilities:\nSupport installation, configuration, and sustainment of HPC cluster environments including compute nodes, schedulers, and supporting infrastructure.\nConfigure and maintain HPC job schedulers such as Slurm or PBS, including queue configuration, resource allocation policies, and job scheduling optimization.\nSupport containerized workloads using technologies such as Docker, Podman, or Singularity/Apptainer within HPC cluster environments.\nAssist with cluster provisioning and node management using tools such as xCAT, Warewulf, or similar deployment frameworks.\nAssist with initial cluster build out activities including compute node integration, scheduler configuration, and validation of cluster provisioning systems.\nTroubleshoot hardware, operating system, scheduler, and networking issues impacting HPC cluster performance.\nSupport configuration and performance troubleshooting of high performance networking technologies including RDMA capable interconnects such as InfiniBand.\nAssist with integration of compute nodes and hardware components into existing cluster environments.\nDevelop automation and operational tooling using Bash, Python, or similar scripting languages.\nSupport authentication and access controls using enterprise identity solutions such as LDAP or Kerberos.\nAnalyze system performance and identify bottlenecks impacting compute throughput across compute, storage, and network layers supporting distributed parallel workloads (MPI/OpenMP).\nSupport GPU enabled compute environments and ensure compatibility with CUDA based workloads and distributed GPU processing frameworks.\nCoordinate with government engineering teams to identify configuration issues and recommend improvements to cluster performance, stability, and scalability.\nMaintain documentation for cluster configurations, system procedures, and operational troubleshooting.\nProvide technical guidance on HPC best practices and system configuration to support mission workloads.\n\nRequired Education, Certifications and Security Clearance:\nBS degree in Engineering, Computer Science, or related STEM field\nExperience may be substituted for degree\nTS/SCI Clearance\nAbility to obtain DoD 8140 (8570) IAT Level II certification\n\nRequired Experience/Qualifications:\nMinimum 6 years of experience administering Linux based systems in enterprise, research computing, or distributed compute environments, including configuration and troubleshooting of multi-node systems.\nExperience supporting distributed compute environments utilizing workload schedulers such as Slurm, PBS, Torque, Grid Engine, or similar resource management platforms.\nExperience supporting multi-node compute environments or HPC cluster platforms.\nProfessional experience administering Linux systems through command line interfaces (RHEL derivatives preferred).\nExperience with scripting and automation using Bash, Python, or similar languages.\nExperience troubleshooting server hardware, operating systems, and distributed computing environments.\nFamiliarity with cluster networking concepts and high speed interconnect technologies.\nExperience diagnosing system performance issues across compute, networking, and storage layers.\nStrong troubleshooting and documentation skills.\nActive TS/SCI security clearance.\n\nPreferred Experience/Qualifications:\nExperience administering multi-node HPC clusters supporting distributed compute workloads.\nExperience with parallel or distributed file systems such as Lustre, BeeGFS, GPFS, or similar high throughput storage platforms used in HPC environments.\nExperience supporting parallel computing frameworks such as MPI or OpenMP in distributed cluster environments.\nExperience with configuration management tools such as Ansible or Puppet.\nExperience working in DoD/DoW, or IC computing environments.\nExperience supporting HPC systems in research, laboratory, or mission computing environments.\nExperience supporting GPU enabled compute environments and CUDA based workloads.\nFamiliarity with hybrid compute architectures integrating on-prem HPC clusters with cloud compute resources (e.g., AWS HPC services).\n#DSA209\n#LI-KE1\n\nMany of DSA's positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. DSA is proud to be an Equal Opportunity Employer. DSA is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. DSA requires background checks , where permitted , by law. DSA is an E-Verify Employer.","datePosted":"2026-04-14T11:22:39.758Z","dateModified":"2026-04-14T11:22:39.758Z","hiringOrganization":{"@type":"Organization","name":"Data Systems Analysts","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlottesville","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"14bfaaf271f21ceda836aabf"},"url":"https://jobsearcher.com/jobs/14bfaaf271f21ceda836aabf"}}