Systems Engineer

GPU Systems Engineer (Advanced / Senior)Bethesda, MD Top Secret/SCI CI Polygraph Career Level not specified $175,000 - $260,000Job DescriptionWe are seeking a highly experienced systems engineer with deep expertise in high-performance computing environments, including GPU-based infrastructure, operating systems, and high-speed networking. This role focuses on designing, optimizing, and maintaining large-scale GPU-enabled environments that support advanced computational workloads, including AI/ML processing and data-intensive applications. This position requires hands-on work within a secure, on-site environment supporting complex technical systems and mission-critical operations.Key Responsibilities:Design, configure, and maintain GPU-based compute clusters supporting large-scale processing workloadsCollaborate with cross-functional engineering teams to define system architectures that meet performance, scalability, and efficiency requirementsIntegrate GPU platforms into Linux-based environments, ensuring compatibility, reliability, and optimized performanceAnalyze system and GPU performance, identify bottlenecks, and implement improvements across hardware and software layersDevelop and maintain tools for debugging, profiling, and performance analysis in Linux environmentsLeverage scripting and automation tools such as Python, Bash, and configuration management frameworks to streamline operationsMaintain technical documentation including system architectures, configurations, and operational proceduresSupport compliance efforts and ensure adherence to required security and operational standardsRequired Qualifications:Extensive experience in systems engineering, with a focus on high-performance or GPU-enabled environmentsStrong background working with GPU data center platforms, including modern accelerator technologiesExperience with enterprise server hardware components, including storage systems, network interfaces, and high-speed interconnectsAdvanced knowledge of Linux operating systems (such as common enterprise distributions)Proven ability to troubleshoot complex system and infrastructure issues across hardware and software layersStrong collaboration and problem-solving skills within technical team environmentsRelevant industry certification aligned with information assurance or system security requirementsPreferred / Nice-to-Have Skills:Experience managing containerized or orchestrated environments, including Kubernetes-based systemsFamiliarity with AI/ML workflow orchestration tools or similar pipeline frameworksExposure to GPU virtualization or cloud-based GPU infrastructureExperience implementing or supporting system monitoring and observability toolsFamiliarity with distributed workload scheduling systems used in high-performance computing environmentsWork Environment:Full-time, on-site role within a secure operational facilityDaily on-site presence requiredCollaboration with multidisciplinary technical teams supporting advanced computing environments