Autonomy Engineer

Autonomy Engineer

As an Autonomy and UAS Engineer, 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 Shield AI’s Hivemind to build resilient navigation, perception, targeting, and collaborative autonomy capabilities for the Department of Defense.

You will 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.

• 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.
• Develop secure software pipelines aligned to DoD cybersecurity standards.
• Integrate AI outputs into tactical networks and mission command systems.
• Implement CI/CD pipelines for rapid model iteration and field updates.

• 3+ years of experience in software engineering, including AI/ML systems.
• Experience with Python and C++.
• Experience with deep learning frameworks, such as PyTorch, Tensor Flow, 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 ROS
  2.
• Experience with computer vision or autonomous navigation systems.
• Secret clearance.
• Bachelor's degree.

• Experience working in military exercises and war games.
• Ability to support flight testing and operational evaluations.
• Master’s degree.
• ML, AI, or Solution Architecture Certification.

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.

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, but not inclusive of health benefits.

Salary: $99,000.00 to $ annually (annualized USD). The projected range is just one component of Booz Allen’s total compensation package.

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.