Researcher – AI/ML Real-Time Embedded OS

The Intelligent Real-Time Operating System Lab focuses on OS architecture, concurrency challenges, and optimal resource management for diverse use cases such as the compute required for AI/ML. This lab aims to innovate operating system designs for mixed-criticality environments that exceed traditional methods. The focus of this lab is to develop next-generation OS platform support to enable high performance, maximum concurrency and challenging resource management with ML/AI agents or services. Our goal is to ensure enhanced performance and reliability in increasingly complex environments that embedded devices at the edge presents.

• Collect, analyze, and distill the latest research on AI/ML concepts relevant to OS such as scheduling, resource management, performance, and sparsity and isolation techniques.

• Lead and collaborate on research and implementation of advanced ML/AI technologies, including but not limited to: kernel config optimization, QoS control and partitioning/isolation, resource allocation and power management.

• Explore and showcase novel optimization opportunities to ensure we meet our customers’ expectations for performance and new feature usability making the latest research come to life.