Shield AI builds self-driving technology that enables swarms of unmanned systems to operate on the edge without GPS, communications, or remote pilots.

Further, by applying reinforcement learning to scalable simulations, Shield AI trains unmanned systems to learn new tactics and behaviors to autonomously accomplish new missions ranging from clearance operations with SUAS to breaching integrated air defense systems with Group 2-5 UAS.

AI/ML

Cyber Security

Information Technology

Software

Computer Hardware

Shield AI

Shield AI's headquarters in San Diego, CA, United States

The Melbourne office focuses on deep learning, engineering, and project management for advanced vision systems.

Melbourne

The Boston office focuses on advanced engineering solutions in mission systems and embedded software development.

Boston

This department oversees and coordinates various projects, ensuring they align with organizational goals and deliver results effectively.

Project Management

This department is responsible for the development, maintenance, and enhancement of software applications and systems.

Software Engineering

This department oversees the design, development, and implementation of engineering projects and solutions.

Engineering Department

The Software and Engineering Team at Shield AI is responsible for developing and maintaining sophisticated software and engineering solutions that enable autonomous operation of unmanned systems in challenging environments. This team leverages advanced AI technologies, including reinforcement learning and machine learning, to train unmanned systems for various missions. They ensure software integration, cybersecurity, and compliance with airworthiness standards, and oversee product management and mechanical engineering to deliver robust, cutting-edge autonomous systems.

Software and Engineering Team

This department focuses on the development and implementation of advanced autonomy systems and applications.

Autonomy Engineering

The Engineering and Technology team at Shield AI is responsible for developing and maintaining the sophisticated self-driving technology that powers unmanned systems. This includes working on IT infrastructure, software development, cloud operations, perception engineering, and ensuring cybersecurity. They apply reinforcement learning in scalable simulations to train autonomous systems and manage the technical aspects of product development, testing, and deployment.

Engineering and Technology

This department manages the sourcing, interviewing, and hiring processes to attract suitable candidates for various roles within the organization.

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Software Engineering

Engineering Department

Software and Engineering Team

Autonomy Engineering

Engineering and Technology

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