AI/ML and RF signal processing systems for defense and intelligence
Expedition Technology builds machine learning and signal-processing systems for national security customers, with an all-engineering, senior-weighted hiring push that is accelerating. The stack pairs edge AI (NVIDIA Jetson, CUDA, PyTorch, ONNX) with heavy infrastructure-as-code tooling (Terraform, Packer, Ansible, Helm, ArgoCD), pointing to a focus on getting RF models out of the lab and into real-time, deployable systems.
Expedition Technology (EXP) is a privately held, employee-owned company founded in 2013 and headquartered in Herndon, Virginia. It develops signal, image and multi-INT capabilities for the defense and intelligence communities, with core expertise in machine learning, computer vision, deep learning and algorithm development. The company employs 51–200 people and hires in the United States. Its engineering work spans GPU-accelerated RF analysis, AI/ML data management and containerized deployment on AWS and Kubernetes.
Python, PyTorch, CUDA, ONNX and NVIDIA Jetson for ML, plus AWS (Lambda, Fargate, CDK), Docker, Kubernetes, Helm, Rancher, ArgoCD, Terraform, Ansible, GitLab CI/CD and Jenkins for infrastructure.
Yes. Hiring is accelerating and concentrated entirely in engineering, weighted toward senior roles with some mid-level and intern positions, all in the United States.
Projects include real-time machine learning for RF data, GPU-accelerated RF signal analysis algorithms, a training data storefront, a centralized AI/ML annotation and model repository, and deployment automation.
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Expedition Technology'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.