Offensive cyber, embedded engineering and compact ISR/EW systems for defense
Cryptic Vector is an Ohio-based defense technology firm whose stack pairs reverse-engineering tools (Ghidra, IDA Pro, Wireshark, Assembly) with embedded work in C++, Rust, Yocto, RTOS and Embedded Linux, a profile built for vulnerability research and low-level hardware platforms. Hiring is accelerating and entirely engineering-focused, skews senior, and includes an Engineering Director search, while job posts point to legacy codebase modernization and classified system reliability.
Notable leadership hires: Engineering Director
Cryptic Vector is a privately held defense company founded in 2018 and headquartered in Liberty Township, Ohio, with 201–500 employees. It works across the cyber and electromagnetic domains, combining offensive cyber capability, engineering services and small-form-factor ISR and electronic warfare hardware. Its work supports classified programs and mission-critical applications. Engineering spans embedded firmware, web applications built with React, Angular and Node.js, and infrastructure running on AWS, Kubernetes, Proxmox and ESXi. Hiring is concentrated in the United States.
Cryptic Vector uses C++, Python, Rust, Assembly, Yocto, RTOS and Embedded Linux, along with Ghidra and IDA Pro for reverse engineering. Its infrastructure includes AWS EKS, Kubernetes, Docker, Terraform and Ansible.
Yes. Hiring is accelerating and focused entirely on engineering. Most openings are senior roles, there is an active Engineering Director search, and positions are based in the United States.
Cryptic Vector is headquartered in Liberty Township, Ohio. It was founded in 2018 and has 201–500 employees.
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Cryptic Vector'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.