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Company profile

Expedition Technology Tech Stack

AI/ML and RF signal processing systems for defense and intelligence

Defense and Space Manufacturing Herndon, VA 51–200 employees Founded 2013 Privately Held

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.

Tech Stack 58 technologies

Core StackPython AWS Docker Kubernetes RAG JavaScript Helm Rancher ArgoCD CloudFormation Terraform Ansible Jenkins GitLab CI/CD OpenTelemetry AWS Lambda PyTorch GitLab React Vue Angular Packer AWS Organizations AWS CDK AWS Fargate NVIDIA Jetson CUDA ONNX Realm Solid+28 more

What Expedition Technology Is BuildingChallenges and projects from their job posts

◆Challenges

  • Operationalizing ML models for real-time applications
  • Integrating advanced ML into existing infrastructure
  • Deploying ML onto SWaP-constrained systems
  • Optimizing deployments on third-party infrastructure
  • Identifying CPU/GPU performance bottlenecks
  • Keeping pace with changing cloud and security tools

▲Active Projects

  • Real-time machine learning systems for RF data
  • GPU-accelerated RF signal analysis algorithms
  • Training data storefront (TDS)
  • Centralized repository of AI/ML annotations and models
  • CI pipelines and containerized deployment automation
  • Verification and validation environment systems

Hiring Activity

Accelerating40 roles · 25 in 30d

Department

Engineering
39

Seniority

Senior
23
Mid
12
Intern
4
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About Expedition Technology

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.

HeadquartersHerndon, VA
Company Size51–200 employees
Founded2013
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Expedition Technology use?

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.

Is Expedition Technology hiring engineers?

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.

What is Expedition Technology working on?

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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How this profile is built

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.