Autonomous Systems and Artificial Intelligence Researcher, Senior
Booz Allen HamiltonAbout the role
The Opportunity:
As an Autonomous Systems and Artificial Intelligence (AI) Researcher, you will be at the forefront of creating innovative research and development (R&D) solutions that drive the future of Intelligent Autonomous Systems for the Navy. Our team is seeking a visionary thinker with a deep understanding of AI, machine learning, and autonomous systems to lead technical teams through designing, architecting, implementing, integrating, testing, delivering, and maintaining autonomy and artificial intelligence-based capabilities for multi-domain unmanned vehicles.
In this role you will work in a highly collaborative R&D environment, exploring and designing novel systems and academic researchers. You will combine your passion for learning with your deep technical expertise to lead teams in the invention of disruptive hardware and software technologies that advance state of the art AI-enabled autonomous solutions.
Join us. The world can't wait.
You Have:
5+ years of experience in R&D including leading successful R&D captures, writing winning proposals, and developing close relationships with government research and development program managers at Navy Acquisition, ONR, or the DoD
Experience 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, including live demonstrations with military hardware prototypes
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
Secret clearance
Master's degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, or Software Engineering
Nice If You Have:
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 edge processing technologies and embedded systems
Experience with publish-subscribe service-oriented, containerized and portable architectures
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 Amazon Web Services (AWS) or other cloud-based architecture
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
Clearance:
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.
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