HPC Infrastructure & Cluster Engineer

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 the 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.
• Clearance Required: Active TS clearance (with SCI Eligibility) and eligibility to obtain CI Poly
• Education/Experience:
• Requires Bachelor's degree
• 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
• Troubleshooting Focus: Proven ability to diagnose and resolve complex hardware, network, and OS-level issues
• What is ideal?
• Familiarity with parallel file systems and high-throughput storage architecture.
• Prior experience engineering or managing high-speed GPU-to-GPU communication topologies
• Intelligence Community Experience preferred
• Recognizing great achievements do not go unnoticed by bcore through service anniversaries, spot awards, and employee referral bonuses
• You’ll join a growing organization of passionate, top-shelf, IT engineering professionals with extensive experience in actively developing the technology revolution in the Intelligence community
• The expected salary range within the Washington, DC metropolitan area is: $148,000 - $179,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
• Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.