UAS Software Engineer

Booz Allen HamiltonHonolulu, HI

About The Position

UAS Software Engineer The Opportunity: As a UAS Software Engineer, you will design, develop, and deploy machine learning models that power intelligent behaviors on unmanned aircraft systems. You will work with advanced autonomy frameworks, including platforms such as Shield AI’s, to build resilient navigation, perception, targeting, and collaborative autonomy capabilities for defense clients. You will operate at the cutting edge of edge AI, computer vision, reinforcement learning, and real-time embedded systems by helping the military transition from human-in-the-loop control to AI-assisted and autonomous mission execution. Your work will directly support Army modernization priorities — accelerating decision advantage and reducing operator cognitive burden in multi-domain operations.

Requirements

  • 3+ years of experience in software engineering, focusing on AI and ML systems
  • Experience with computer vision or autonomous navigation systems
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, and ONNX
  • Experience building and deploying AI models on edge hardware
  • Experience with Python and C++
  • Ability to implement CI/CD pipelines for rapid model iteration and field updates
  • Ability to communicate complex AI concepts to non-technical military stakeholders
  • Ability to obtain a Secret clearance
  • Bachelor's degree or 7+ years of experience in software engineering in lieu of a degree

Nice To Haves

  • Experience transitioning autonomy prototypes into operational platforms
  • Knowledge of sensor-to-shooter workflows and tactical autonomy applications
  • Ability to develop and integrate autonomy behaviors within platforms such as Hivemind
  • Ability to design and train machine learning models for perception, object detection, tracking, and classification
  • Ability to enable collaborative autonomy between multiple UAS platforms
  • Secret clearance
  • Master’s degree

Benefits

  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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