{"schemaVersion":"jobsearcher.job.v1","id":"365e002e2aae58c421c58f12","url":"https://jobsearcher.com/jobs/365e002e2aae58c421c58f12","canonicalUrl":"https://jobsearcher.com/jobs/365e002e2aae58c421c58f12","title":"HPC Support 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 Support Engineer to assist users executing computational workloads within secure High Performance Computing (HPC) environments. The HPC Support Engineer will work directly with engineers, analysts, and researchers to support job execution, troubleshoot workload failures, and improve the performance and efficiency of compute workloads running on HPC clusters.\nThe Engineer will assist users with scheduler job scripts, application execution, and workload performance troubleshooting while promoting HPC best practices for efficient cluster utilization. This role serves as the primary interface between mission users and HPC platform infrastructure teams.\nThis position requires strong Linux experience, scripting capability, and familiarity with distributed computing environments supporting scientific or engineering workloads.\nThis position is onsite in Charlottesville, VA.\n\nResponsibilities:\nProvide user support for computational workloads running on HPC clusters in classified and unclassified environments.\nAssist users in developing, submitting, and troubleshooting scheduler job scripts for systems such as Slurm or PBS, including resource allocation for CPU, GPU, and distributed compute workloads.\nTroubleshoot slow, hanging, or failing HPC jobs including MPI based distributed workloads, GPU jobs, and large scale parallel applications.\nSupport users compiling and executing scientific, modeling, or data processing applications within Linux based HPC environments.\nProvide guidance on HPC best practices for job scheduling, compute resource allocation, and workload performance.\nMonitor workload execution patterns and provide guidance to improve cluster throughput and resource utilization.\nDevelop scripts or tools using Bash or Python to automate common operational tasks.\nMaintain documentation and knowledge base articles describing system capabilities, job execution procedures, and troubleshooting guidance.\nSupport performance analysis of compute workloads to identify inefficiencies or configuration issues.\nCoordinate with HPC systems engineers when infrastructure or cluster configuration issues impact workload performance.\nProvide responsive on site support for users executing HPC workloads in mission environments.\nMaintain source controlled scripting and tools using Git or similar version control platforms.\nAssist users with environment modules and runtime environments required for executing HPC applications.\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 5 years of Linux experience including command line system usage, scripting, and troubleshooting applications in multi-user server environments.\nProfessional experience administering or supporting command line Linux systems (RHEL derivatives preferred).\nExperience developing scripts using Bash, Python, or similar scripting languages.\nExperience troubleshooting software execution issues in distributed computing environments.\nWorking knowledge of job scheduling systems such as Slurm, PBS, Torque, or similar platforms.\nExperience supporting users in technical computing or engineering environments.\nStrong troubleshooting and analytical skills.\nAbility to communicate technical concepts clearly to both technical and non technical users.\nActive TS/SCI security clearance.\n\nPreferred Experience/Qualifications:\nExperience as a user or administrator of HPC clusters.\nExperience supporting parallel computing frameworks such as MPI, OpenMP, or CUDA based GPU workloads.\nExperience supporting scientific or engineering applications requiring large scale compute resources.\nExperience using performance monitoring and optimization tools for compute workloads.\nExperience compiling applications using C, C++, Fortran, or Python based environments.\nExperience working in classified computing environments.\nExperience supporting GPU enabled workloads.\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":"2026-04-14T11:22:39.425Z","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":"15-1232.00","title":"Computer User Support Specialists","slug":"computer-user-support-specialists"}],"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 Support 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 Support Engineer to assist users executing computational workloads within secure High Performance Computing (HPC) environments. The HPC Support Engineer will work directly with engineers, analysts, and researchers to support job execution, troubleshoot workload failures, and improve the performance and efficiency of compute workloads running on HPC clusters.\nThe Engineer will assist users with scheduler job scripts, application execution, and workload performance troubleshooting while promoting HPC best practices for efficient cluster utilization. This role serves as the primary interface between mission users and HPC platform infrastructure teams.\nThis position requires strong Linux experience, scripting capability, and familiarity with distributed computing environments supporting scientific or engineering workloads.\nThis position is onsite in Charlottesville, VA.\n\nResponsibilities:\nProvide user support for computational workloads running on HPC clusters in classified and unclassified environments.\nAssist users in developing, submitting, and troubleshooting scheduler job scripts for systems such as Slurm or PBS, including resource allocation for CPU, GPU, and distributed compute workloads.\nTroubleshoot slow, hanging, or failing HPC jobs including MPI based distributed workloads, GPU jobs, and large scale parallel applications.\nSupport users compiling and executing scientific, modeling, or data processing applications within Linux based HPC environments.\nProvide guidance on HPC best practices for job scheduling, compute resource allocation, and workload performance.\nMonitor workload execution patterns and provide guidance to improve cluster throughput and resource utilization.\nDevelop scripts or tools using Bash or Python to automate common operational tasks.\nMaintain documentation and knowledge base articles describing system capabilities, job execution procedures, and troubleshooting guidance.\nSupport performance analysis of compute workloads to identify inefficiencies or configuration issues.\nCoordinate with HPC systems engineers when infrastructure or cluster configuration issues impact workload performance.\nProvide responsive on site support for users executing HPC workloads in mission environments.\nMaintain source controlled scripting and tools using Git or similar version control platforms.\nAssist users with environment modules and runtime environments required for executing HPC applications.\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 5 years of Linux experience including command line system usage, scripting, and troubleshooting applications in multi-user server environments.\nProfessional experience administering or supporting command line Linux systems (RHEL derivatives preferred).\nExperience developing scripts using Bash, Python, or similar scripting languages.\nExperience troubleshooting software execution issues in distributed computing environments.\nWorking knowledge of job scheduling systems such as Slurm, PBS, Torque, or similar platforms.\nExperience supporting users in technical computing or engineering environments.\nStrong troubleshooting and analytical skills.\nAbility to communicate technical concepts clearly to both technical and non technical users.\nActive TS/SCI security clearance.\n\nPreferred Experience/Qualifications:\nExperience as a user or administrator of HPC clusters.\nExperience supporting parallel computing frameworks such as MPI, OpenMP, or CUDA based GPU workloads.\nExperience supporting scientific or engineering applications requiring large scale compute resources.\nExperience using performance monitoring and optimization tools for compute workloads.\nExperience compiling applications using C, C++, Fortran, or Python based environments.\nExperience working in classified computing environments.\nExperience supporting GPU enabled workloads.\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":"2026-04-14T11:22:39.425Z","dateModified":"2026-04-14T11:22:39.425Z","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":"365e002e2aae58c421c58f12"},"url":"https://jobsearcher.com/jobs/365e002e2aae58c421c58f12"}}