Lead design and operation of a centralized AI and data platform for autonomy: define compute strategy, build distributed training and simulation systems, manage multi-modal datasets and MLOps, enable model evaluation, optimization, and deployment to constrained edge and customer environments, and drive platform standardization and broad adoption across programs.

Deploy and integrate Shield AI's Hivemind autonomy software with customers worldwide, provide technical support and training, develop autonomy applications using the enterprise SDK, assist sales and post-sales integration, document solutions, and collaborate with product engineering to resolve customer issues.