Position SummarySupport enterprise AI mission systems by designing, developing, and optimizing GPU clusters, with deep focus on operating systems, hardware, GPU platforms, and high-speed networking in a secure customer environment.Essential Duties and ResponsibilitiesDesign, configure, and maintain GPU clusters.Collaborate with a multidisciplinary team to define and optimize architectures for performance, power efficiency, and required features.Work closely with AI/ML engineers to integrate GPUs with Linux-based systems.Optimize GPU drivers for compatibility, reliability, and performance.Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across hardware and software layers.Build and maintain debugging tools, profiling utilities, and performance analysis software for Linux environments.Leverage Bash, Python, Ansible, Puppet, and Salt for tooling and automation.Maintain technical documentation, architectural specifications, and Linux best practices.Support ATO activities and ensure compliance with federal security standards.Required QualificationsActive TS/SCI with ability to obtain a CI Polygraph.Bachelor's degree with a minimum of six years of experience in the category field. Three additional years of experience may be substituted for the bachelor's degree.Experience managing NVIDIA GPU data center platforms, including DGX, HGX, H200, H100, and L4s.Knowledge of enterprise server components, including storage/network controllers, HBAs, and SSDs.Strong expertise with Linux distributions, including RHEL, Ubuntu, Oracle, and Rocky.Excellent problem-solving skills and the ability to collaborate within a team.Meet DoD IAT Level II certification requirements at a minimum; IAT Level III is also acceptable.U.S. citizenship is required due to the nature of the government contracts supported.Preferred QualificationsExperience with Kubernetes cluster management and AI/ML workflow orchestration, including Argo, Airflow, and Kubeflow.Familiarity with GPU virtualization and cloud computing.Experience with Prometheus and Grafana for monitoring.Knowledge of distributed resource scheduling systems such as Slurm, LSF, or similar tools.Required Education and Experience EquivalencyHigh School Diploma/GED with 9 years of experience.Associates Degree with 9 years of experience.Bachelors' Degree with 6 years of experience.Masters' Degree with 6 years of experience.PhD with 6 years of experience.Required CertificationsDoD IAT Level II certification: Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP.Required Security ClearanceActive TS/SCI with ability to obtain a CI Polygraph.