Design and build ML DevOps infrastructure and end-to-end pipelines to deploy data, models, and software for Edge AI applications. Implement secure repository and CI/CD/CT practices, collaborate with cross-functional teams, and define metrics and monitoring to ensure delivery and operational performance.

Design and implement scalable platform services, runtimes, and developer tooling for deploying and managing AI workloads on Arm-based edge devices. Build abstractions, observability, and performance optimizations across heterogeneous hardware while collaborating with architects and AI engineers to produce robust, maintainable systems and SDKs for on-device AI.