Design and implement advanced synchronization and networking systems for distributed AI operations across edge and cloud environments. Collaborate with cross-functional teams to deploy secure AI components in restricted or air-gapped systems.
Design and build synchronization and networking systems for secure, reliable AI operations across edge devices and isolated cloud environments, using technologies such as CRDTs, Merkle trees, and content-addressable storage. Optimize distributed software, apply security-first practices, collaborate across engineering teams, and maintain rigorous testing, observability, and validation.
Design and implement advanced synchronization and networking systems for distributed AI operations across edge and cloud environments. Collaborate with cross-functional teams to ensure secure, reliable, and performant AI infrastructure deployment.
Lead the development and optimization of LLMs and Mixture of Experts models to improve performance and efficiency. Collaborate cross-functionally to integrate these models into the platform and mentor junior engineers.
