High-performance computing and SIGINT systems for U.S. national security
Vibrint builds mission-critical HPC and SIGINT platforms for national security customers. The stack—C++, Java, Python layered over VMware, Kubernetes, and hyperconverged infrastructure (Nutanix, HPE SimpliVlex, Dell VxRail)—reflects deep systems engineering work at scale. Hiring velocity is accelerating with engineering and ops leading (26 of 47 roles), and the project list centers on HPC sustainment, automation, and datacenter architecture, suggesting Vibrint is scaling both delivery capacity and infrastructure maturity in a constrained customer base.
Vibrint delivers high-performance computing, SIGINT research and analysis, and enterprise systems development to U.S. national security agencies and defense customers. The company operates from Hanover, Maryland, with 51–200 employees organized around engineering, operations, security, and sales teams. Work spans HPC infrastructure sustainment, end-to-end solution automation, datacenter network design, and mission-resilience architecture. Customer decisions are tied to intelligence-gathering capability and speed of analysis—operational constraints that shape both product development and the hiring profile Vibrint maintains.
C++, Java, Python, Kubernetes, Docker, VMware, Azure Stack HCI, Nutanix, HPE SimpliVity, Dell VxRail, Cisco, Juniper, SQL Server, PostgreSQL, and AWS. Heavy hyperconverged and containerization footprint.
HPC sustainment and scheduler software, end-to-end solution automation, datacenter network design, and SIGINT infrastructure. Also pursuing Virginia intelligence community and DoD contracts.
Vibrint's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.