Hiring: Autonomy SME, Lead Company: Booz Allen Hamilton Location: Washington, DC Job Posted Time: 2026-09-10 11:00:41 Employment Type: Full-time / Remote Target Skills & Keywords : AI, Aerospace Engineering, C++, CI/CD, Computer Vision, Deep Learning, Embedded Systems, Machine Learning, ONNX, PyTorch, Python, Reinforcement Learning, Secret Clearance, TensorFlow, Top Secret Clearance About the job Experience: •5+ years of experience in software engineering, including AI/ML systems Required Skills: •As an Autonomy and UAS Engineer, you will design, develop, and deploy machine learning models that power intelligent behaviors on unmanned systems. You will work with advanced autonomy frameworks, including platforms such as Shield AI’s Hivemind to build resilient navigation, perception, targeting, and collaborative autonomy capabilities. •Operate at the cutting edge of edge AI, computer vision, reinforcement learning, and real-time embedded systems, helping the military transition from human-in-the-loop control to AI-assisted and autonomous mission execution. •As a technical lead, you will guide autonomy architecture decisions, mentor engineering teams, and support the integration of autonomy capabilities into operational military systems. •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. Qualifications: •Demonstrated capacity to obtain a Secret clearance •Bachelor’s degree in a Computer Science, Robotics, Aerospace Engineering, or Electrical Engineering field •Demonstrated capacity to support flight testing and operational evaluations Compensation: •$112,800 - $257,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!