Booz Allen HamiltonRemote
UAS Software Engineer
United States of America
Full Time
1 week ago
$87,000 - $198,000 USD
No H1B
Key skills
PythonC++CAIMachine LearningMLDeep LearningComputer VisionPyTorchTensorFlowCI/CD
About this role
Booz Allen Hamilton is seeking a UAS Software Engineer specializing in AI autonomy to design, develop, and deploy machine learning models for unmanned aircraft systems. The role involves working on advanced autonomy frameworks to enhance navigation, perception, targeting, and collaborative capabilities for Army clients.
Responsibilities:
- Design and train machine learning models for perception, object detection, tracking, and classification
- 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
- Develop and integrate autonomy behaviors within platforms such as Hivemind
- Implement mission planning logic and adaptive decision-making algorithms
- Enable collaborative autonomy between multiple UAS platforms
- 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
- Support flight testing and operational evaluations
- Develop secure software pipelines aligned to DoD cybersecurity standards
- Support RMF and ATO compliance
- Integrate AI outputs into tactical networks and mission command systems
- Implement CI/CD pipelines for rapid model iteration and field updates
Requirements:
- 5+ years of 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
- Ability to obtain a Secret clearance
- Bachelor's degree
- Secret clearance
- Master's degree
- ML, AI, or Solution Architecture Certification