HPC Infrastructure & Cluster Engineer

**ACTIVE TS/SCI SECURITY CLEARANCE REQUIRED** We are seeking an Infrastructure & Cluster Engineer to manage the administration, health, and performance of the foundational compute environment. In this role, you will be responsible for the end-to-end administration of a dedicated customer compute cluster. Your primary mission is to ensure a highly available, secure, and optimized hardware foundation. By maintaining a robust infrastructure, you will directly contribute to the critical technology integration and performance engineering efforts, ensuring a highly reliable platform for integrating and executing complex customer workloads. Key Responsibilities: Cluster Administration: Manage the day-to-day operations of the customer compute cluster, including Linux operating system administration, hardware monitoring, patching, and system upgrades Resource and Job Management: Configure, maintain, and optimize workload management and orchestration platforms, utilizing Run:AI job scheduler to ensure efficient distribution of intensive AI/ML workloads across the cluster Infrastructure Optimization: Tune cluster performance at the hardware, operating system, and network levels to maximize compute efficiency and data throughput for customer workloads Storage and Network Management: Administer storage solutions and high-speed networking fabrics. Support the transition to and ongoing management of an InfiniBand GPU-to-GPU network infrastructure to minimize latency for distributed operations Environment Configuration: Partner with technology integration teams to provision specific environments, dependencies, and container platforms, specifically leveraging Red Hat OpenShift, required for seamless customer model deployment Security and Compliance: Ensure all infrastructure components remain compliant with federal security standards, implementing strict access controls and maintaining system accreditations Basic Qualifications 5+ years of experience in Linux systems administration and infrastructure management with a specific focus on high-performance computing environments Expertise in managing bare-metal servers, enterprise storage arrays, and advanced network configurations (Experience with InfiniBand) Strong proficiency with workload managers, job schedulers, and AI orchestration tools (e.g. Run:AI, SLURM) Hands-on experience with enterprise container orchestration platforms, specifically OpenShift or Kubernetes Experience writing automation and configuration scripts (e.g. Bash, Python) to streamline cluster maintenance Proven ability to diagnose and resolve complex hardware, network, and OS-level issues Preferred Qualifications Familiarity with parallel file systems and high-throughput storage architecture Prior experience engineering or managing high-speed GPU-to-GPU communication topologies Additional Information All your information will be kept confidential according to EEO guidelines. Compensation is unique…