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Lead design, development, and verification of autonomy solutions for defense: write perception and planning algorithms, prototype and deploy ML models, optimize performance, build system architectures, collaborate cross-functionally, mentor junior engineers, and test/debug with attention to documentation and emerging AI techniques.

Deploy, integrate, and operationalize Applied Intuition's vehicle intelligence products with defense and government customers. Perform software engineering, OS configuration, system deployment, and hardware integration. Design scalable engagement and architecture patterns, collaborate with product and engineering teams, and drive technical outcomes in challenging operational environments.

Design and implement single- and multi-target detection, tracking, and decentralised multi-agent sensor-fusion and state-estimation algorithms for unmanned autonomous systems; productionize algorithms into robust deployable software and collaborate with cross-functional teams.

Define system requirements and architectures, integrate and deploy autonomy and perception software onto vehicles, lead systems engineering artifacts, perform hands-on field testing and validation, enable inter-vehicle communications, use simulation for validation, and collaborate across software, perception, and field teams to ensure robust, safe deployments.