HPC Infrastructure & Cluster Engineer
Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Sep 24, 2026.
Overview
HPC Infrastructure & Cluster Engineer
Springfield, VA
Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly
At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.
Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team as a HPC Infrastructure & Cluster Engineer, supporting the NGA customer mission.
Responsibilities
What you get to do every day:
You will manage the administration, health, and performance of the foundational compute environment. 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 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.
Qualifications
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.
Required Skills:
- 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
What you can expect from us
- 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.
BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.