{"schemaVersion":"jobsearcher.job.v1","id":"32c70090637f294eff5024fd","url":"https://jobsearcher.com/jobs/32c70090637f294eff5024fd","canonicalUrl":"https://jobsearcher.com/jobs/32c70090637f294eff5024fd","title":"Systems Engineer - TS/SCI","description":"Overview\nIn this role you will design, deploy, and optimize HPC and GPU clusters for IC/DoD-adjacent environments. You will work closely with cross-functional teams to ensure scalable, power-efficient Linux-based GPU infrastructure across on-premises and cloud, while advancing performance and reliability. You will stay ahead of GPU and Linux trends and contribute to secure, well-documented solutions. This is a hands-on, impact-focused position in a stateful, security-cleared setting with ongoing optimization and validation work.\n\nResponsibilitiesInstall and maintain GPU/HPC hardware on‑prem and in the cloudAnalyze cluster performance to identify bottlenecks and improve efficiencyInstall and configure HPC/GPU schedulers and workflow tools (Slurm, PBS, Apache Airflow, Kubernetes)Work on GPU power management for Linux platformsDesign and execute GPU/Linux tests, benchmarking, and debugging; expand testing suiteCreate and maintain technical documentation and Linux best practicesStay informed on GPU industry trends and contribute to Linux-specific optimization approachesCollaborate with the team to deliver robust GPU solutions\nKey requirementsBachelor's degree in Computer Science, Electrical Engineering, or related field4+ years of relevant systems engineering experienceExpertise in Linux OS integration and hardware architectureKnowledge of parallel computing, graphics algorithms, and real-time rendering in LinuxStrong problem-solving and team collaborationExcellent communication in a Linux contextProficiency with Python or BashProficiency with automation tools (Ansible, Puppet, Salt, Terraform)DoD 8570.11 IAT Level II certification or higher (e.g., Security+ CE, CCNA-Security, GICSP, GSEC, SSCP; CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP)Preferred: GPU virtualization, Docker/Kubernetes, Prometheus/Grafana, distributed resource scheduling, data center networking conceptsFamiliarity with DHCP, DNS, TCP/IP, VLANs, HSRP, SNMP; knowledge of firewall, IDS/IPS, and PBR conceptsExcellent communicationStrong problem-solvingTeam collaborationLinux system administrationGPU hardware and NVIDIA productsKubernetes, Docker","company":"Xcelerate Solutions","rawCompany":"xcelerate solutions","city":"Silver Spring","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-09-15T04:39:51.259Z","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":"541519","title":"Other Computer Related Services","slug":"other-computer-related-services"},{"code":"541513","title":"Computer Facilities Management Services","slug":"computer-facilities-management-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Systems Engineer - TS/SCI","description":"Overview\nIn this role you will design, deploy, and optimize HPC and GPU clusters for IC/DoD-adjacent environments. You will work closely with cross-functional teams to ensure scalable, power-efficient Linux-based GPU infrastructure across on-premises and cloud, while advancing performance and reliability. You will stay ahead of GPU and Linux trends and contribute to secure, well-documented solutions. This is a hands-on, impact-focused position in a stateful, security-cleared setting with ongoing optimization and validation work.\n\nResponsibilitiesInstall and maintain GPU/HPC hardware on‑prem and in the cloudAnalyze cluster performance to identify bottlenecks and improve efficiencyInstall and configure HPC/GPU schedulers and workflow tools (Slurm, PBS, Apache Airflow, Kubernetes)Work on GPU power management for Linux platformsDesign and execute GPU/Linux tests, benchmarking, and debugging; expand testing suiteCreate and maintain technical documentation and Linux best practicesStay informed on GPU industry trends and contribute to Linux-specific optimization approachesCollaborate with the team to deliver robust GPU solutions\nKey requirementsBachelor's degree in Computer Science, Electrical Engineering, or related field4+ years of relevant systems engineering experienceExpertise in Linux OS integration and hardware architectureKnowledge of parallel computing, graphics algorithms, and real-time rendering in LinuxStrong problem-solving and team collaborationExcellent communication in a Linux contextProficiency with Python or BashProficiency with automation tools (Ansible, Puppet, Salt, Terraform)DoD 8570.11 IAT Level II certification or higher (e.g., Security+ CE, CCNA-Security, GICSP, GSEC, SSCP; CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP)Preferred: GPU virtualization, Docker/Kubernetes, Prometheus/Grafana, distributed resource scheduling, data center networking conceptsFamiliarity with DHCP, DNS, TCP/IP, VLANs, HSRP, SNMP; knowledge of firewall, IDS/IPS, and PBR conceptsExcellent communicationStrong problem-solvingTeam collaborationLinux system administrationGPU hardware and NVIDIA productsKubernetes, Docker","datePosted":"2026-09-15T04:39:51.259Z","dateModified":"2026-09-15T04:39:51.259Z","hiringOrganization":{"@type":"Organization","name":"Xcelerate Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Silver Spring","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"32c70090637f294eff5024fd"},"url":"https://jobsearcher.com/jobs/32c70090637f294eff5024fd"}}