UAS Software Engineer

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 unmannedaircraftsystems. 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 willoperateat thecutting edgeof 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:

• Design and train machine learning models forperception, 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.
• OptimizeAI 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.
• Optimizeinference latency and resourceutilization.
• 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.

Join us. The world can't wait.

You Have:

• 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

Nice If You Have:

• Secret clearance
• 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.

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. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

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.