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Washington, District of Columbia, United States · Remote OK
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Washington, District of Columbia, United States · On-site
$90k–$155k/yr
Requisition Number: 29229 Required Travel: 11 - 25% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $90,166.00 - $155,000.00 Security Clearance: Top Secret Level of Experience: Mid HI This opportunit…
Skills: Software Quality Engineering, Automated Testing Frameworks, Manual Testing, Performance Testing, Agile
Washington, District of Columbia, United States · On-site
$90k–$155k/yr
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Skills: Software Design, Software Development, Software Testing, Software Debugging, Mathematical Modeling
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Design and deploy machine learning models for perception, navigation, and collaborative autonomy on unmanned systems. Lead technical architecture decisions and mentor engineering teams to integrate AI capabilities into military operational systems.
Requires a Bachelor's degree in a technical field and 5+ years of experience in software engineering with a focus on AI/ML and edge hardware. Must be able to obtain a Secret security clearance and have proficiency in Python, C++, and robotics middleware.
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.
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.
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.
Implement mission planning logic and adaptive decision-making algorithms.
Enable collaborative autonomy between multiple UAS platforms.
Lead the design and implementation of autonomy architectures for UAS and multi-agent systems.
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.
Provide technical leadership and mentorship to engineers developing autonomy capabilities.
Support flight testing, operational demonstrations, military exercises, and customer evaluations.
Collaborate with government stakeholders, operators, and engineering teams to define autonomy requirements and roadmaps.
Join us. The world can't wait.
5+ years of experience in software engineering, including 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
Experience leading technical teams, architecture decisions, or autonomy-focused development efforts
Experience integrating autonomous systems into operational, test, or simulation environments
Ability to obtain a Secret clearance
Bachelor’s degree in a Computer Science, Robotics, Aerospace Engineering, or Electrical Engineering field
Experience working in military exercises and war games
Experience with autonomy frameworks such as Hivemind, PX4, ArduPilot, NVIDIA Isaac, or ROS2
Experience with collaborative autonomy, swarming, or multi-agent mission execution
Ability to support flight testing and operational evaluations
Top Secret clearance
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.
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.
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 $112,800.00 to $257,000.00 (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.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.
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.
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.
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.
Whether at the border, up in space, or on the battlefield, we build the advanced technology that makes America stronger, faster, and safer. It’s who we are and what we do. It’s in our code.
Offices: 8283 Greensboro Drive, McLean, VA 22102, US
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