Booz Allen
UASSoftwareEngineer,Senior
Neural analysis suggests this role is
optimal for Senior candidates.
“UAS Software Engineer, Senior at Booz Allen. Skills: Machine learning models, Autonomy algorithms, Edge AI deployment. Design reinforcement learning algorithms. Develop autonomy algorithms”
Industry & Context.
Root cause analysis
Secret clearance
What They're Looking For.
Must Have
3+ years design and train ML models, Experience developing autonomy behaviors, Experience in software engineering, Experience with Python and C++, Experience with deep learning frameworks, Experience building and deploying AI models on edge hardware, Experience with robotics middleware, Experience with computer vision, Experience with autonomous navigation systems, Secret clearance, Bachelor's degree
Nice to Have
Master's degree, ML certification, AI certification, Solution Architecture Certification
What You'll Do.
Design reinforcement learning algorithms
Develop autonomy algorithms
Implement sensor fusion models
Optimize AI models for edge deployment
Implement mission planning logic
Implement adaptive decision-making algorithms
Build simulation-based training pipelines
Deploy containerized AI models
Optimize inference latency
Optimize resource utilization
Conduct hardware-in-the-loop testing
Conduct software-in-the-loop testing
Integrate AI outputs into tactical networks
Integrate AI outputs into mission command systems
Full Job Description
UAS Software Engineer, Senior **The Opportunity:** 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. You will operate at the cutting edge of edge AI, computer vision, reinforcement learning, and real-time embedded systems, helping the Army transition from human-in-the-loop control to AI-assisted and autonomous mission execution. **What You’ll Do:** * 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. Join us. The world can’t wait. **You Have:** * 3+ years of experience with design and train 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
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