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UAS Software Engineer, Senior

Booz Allen Hamilton, Honolulu, HI, USA

Pay: 125.000

Job type: Full Time


UAS Software Engineer, Senior

As a UAS Software Engineer specializing in AI autonomy, 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 Hivemind developed by Shield AI, to build resilient navigation, perception, targeting, and collaborative autonomy capabilities for Army and joint clients.

Responsibilities

  • Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
  • Implement sensor fusion models combining EO/IR, LiDAR, GPS‑denied navigation, and telemetry data.
  • Optimize AI models for deployment on edge compute platforms such as GPU, TPU, and embedded systems.
  • Implement mission planning logic and adaptive decision‑making algorithms.
  • Build simulation‑based training pipelines for autonomy validation.
  • Deploy containerized AI models to airborne and ground edge nodes.
  • Optimize inference latency and resource utilization.
  • Conduct hardware‑in‑the‑loop (HIL) and software‑in‑the‑loop (SIL) testing.
  • Integrate AI outputs into tactical networks and mission command systems.

Qualifications

  • 3+ years of experience designing and training machine learning models for perception, object detection, tracking, and classification.
  • Experience developing and integrating autonomy behaviors within UAS platforms such as Hivemind.
  • Experience in software engineering, focusing on AI/ML systems.
  • Experience with Python and C++.
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, and ONNX.
  • Experience building and deploying AI models on edge hardware such as NVIDIA Jetson, GPUs, and embedded platforms.
  • Experience with robotics middleware such as ROS or ROS2.
  • Experience with computer vision or autonomous navigation systems.
  • Secret clearance.
  • Bachelor"s degree.

Nice to Have

  • Master"s degree.
  • ML, AI, or Solution Architecture Certification.

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

EEO Statement

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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