HPC Infrastructure and Cluster Engineer

About the role

Located in Springfield, VA, this position requires an active TS/SCI clearance with the ability to obtain a CI polygraph. As an Infrastructure & Cluster Engineer, you will manage the administration, health, and performance of the foundational compute environment under the User Facing and Data Center Services (UDS) contract, ensuring a highly available, secure, and optimized hardware foundation for customer workloads.

Responsibilities

• Manage the day-to-day operations of the customer compute cluster, including Linux operating system administration, hardware monitoring, patching, and system upgrades.
• Configure, maintain, and optimize workload management and orchestration platforms, utilizing the Run:AI job scheduler to ensure efficient distribution of intensive AI/ML workloads across the cluster.
• Tune cluster performance at the hardware, operating system, and network levels to maximize compute efficiency and data throughput for customer workloads.
• 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.
• Partner with technology integration teams to provision specific environments, dependencies, and container platforms, specifically leveraging Red Hat OpenShift, required for seamless customer model deployment.
• Ensure all infrastructure components remain compliant with federal security standards, implementing strict access controls and maintaining system accreditations.

Qualifications

Required:

• Active TS/SCI clearance with the ability to obtain a CI polygraph.
• 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.

Desired:

• Familiarity with parallel file systems and high‑throughput storage architectures.
• Prior experience engineering or managing high‑speed GPU‑to‑GPU communication topologies.

Education:

• Bachelor’s degree in Computer Science or a related field.

Pay

$180,000 - $200,000