UAS Software Engineer
Not Disclosed•Full-TimeOn-site
location_onKinau Street, Makiki Kai, Honolulu, Honolulu County, Hawaii, 96814, United States
About 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 unmanned aircraft systems. Operating at the cutting edge of edge AI, computer vision, and reinforcement learning, you will help the Army transition from human-in-the-loop control to AI-assisted and autonomous mission execution.
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. Your work will directly enable the deployment of containerized AI models to airborne and ground edge nodes, optimizing inference latency and resource utilization for critical defense missions.
Join Us
The world can't wait. We are looking for engineers ready to operate at the forefront of technology to support national security objectives.
Hiring Process & Identity Verification
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Equal Opportunity Employer
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.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
- Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Work location
Work model: On-site
Kinau Street, Makiki Kai, Honolulu, Honolulu County, Hawaii, 96814, United States
Honolulu, Hawaii
Key Responsibilities
- check_circleDesign and train machine learning models for perception, object detection, tracking, and classification
- check_circleDevelop reinforcement learning and autonomy algorithms for navigation and mission execution
- check_circleOptimize AI models for deployment on edge compute platforms such as GPU, TPU, and embedded systems
- check_circleDevelop and integrate autonomy behaviors within platforms such as Hivemind
- check_circleImplement mission planning logic and adaptive decision-making algorithms
- check_circleEnable collaborative autonomy between multiple UAS platforms
- check_circleBuild simulation-based training pipelines for autonomy validation
- check_circleDeploy containerized AI models to airborne and ground edge nodes
- check_circleSupport flight testing and operational evaluations
- check_circleDevelop secure software pipelines aligned to DoD cybersecurity standards
- check_circleIntegrate AI outputs into tactical networks and mission command systems
- check_circleImplement sensor fusion models combining EO, IR, LiDAR, GPS-denied navigation, and telemetry data
Requirements
- verified1+ years of experience in software engineering focusing on AI or ML systems
- verifiedExperience with Python and C++
- verifiedExperience with deep learning frameworks such as PyTorch, TensorFlow, and ONNX
- verifiedExperience building and deploying AI models on edge hardware
- verifiedExperience with robotics middleware such as ROS or ROS2
- verifiedExperience with computer vision or autonomous navigation systems
- verifiedAbility to obtain a Secret clearance
- verifiedBachelor's degree
Nice to Have
Secret clearance, Master's degree, ML, AI, or Solution Architecture Certification
Benefits & Perks
check_circleHealth, life, disability, financial, and retirement benefitscheck_circlePaid leavecheck_circleProfessional developmentcheck_circleTuition assistancecheck_circleWork-life programscheck_circleDependent carecheck_circleRecognition awards program
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