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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 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 (required).
- Bachelor’s degree.
Nice If You 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.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
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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