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Autonomous Systems and Artificial Intelligence Technical Program Manager
| Company | Booz Allen |
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| Location | Washington, DC, USA |
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| Salary | $86800 – $198000 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 7+ years of experience in Program Management leading R&D efforts and developing concepts for trusted autonomous systems, artificial intelligence, machine learning, or autonomy algorithms
- Experience with AI, federated learning, data fusion, tracking, modern and classical control, or sensor resource management autonomy algorithms
- Experience leading multidisciplinary, hybrid, and remote development teams on technical projects, such as AI/ML algorithm design and autonomous software development and integration
- Experience documenting and presenting technical ideas and progress to C-suite level executives and socializing team accomplishments internally and externally through journal publications and conference participation
- Experience with Python or C++ and machine learning software implementation using machine learning libraries, including TensorFlow, Pytorch, or Keras
- Experience with Git, JIRA, Agile development and DevSecOps, or MLOps workflows
- Knowledge of ROS, ROS2, ROS-M, MOOS-IvP maritime autonomy architecture, Gazebo, Unity or Unreal simulations, or game development
- Ability to work in a highly collaborative R&D environment, exploring and designing novel systems and engaging with academic researchers
- Secret clearance
- Master’s degree
Responsibilities
- Lead technical teams through designing, architecting, implementing, integrating, testing, delivering, and maintaining autonomy and artificial intelligence-based capabilities for multi-domain unmanned vehicles
- Work with cross-functional teams to develop, implement, and manage strategic initiatives in autonomy, ensuring that project objectives and timelines are met
- Identify and pursue new business opportunities through building and maintaining relationships with key stakeholders and potential clients
- Drive the mission to push the boundaries of scientific research and technology development for key clients within Navy and Marine Corps accounts
Preferred Qualifications
- Experience with capture management and business development
- Experience in the design, development, and deployment of AI/ML algorithms for autonomous systems or C-UAS applications
- Experience with maritime systems development, including autonomous surface and underwater systems
- Experience with hardware, software integration, EO/IR, passive and active radar integration, digital signal processing, and with in-field testing and validation of systems
- Experience with large language models, autoencoders, generative adversarial networks, image processing, feature identification, and tracking, including pattern recognition, automatic target recognition, and anomaly detection
- Experience with state-of-the-art game theory and optimization techniques
- Experience with DevSecOps, MLOps, CI/CD systems, and associated development philosophies
- Experience with implementation of unsupervised, supervised, or reinforcement learning approaches
- Doctorate degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, or Software Engineering
