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Design, build, and scale control- and data-plane infrastructure for distributed AI workloads. Improve reliability, performance, scheduling, and observability for Ray clusters across cloud and on-prem environments. Support accelerator integration, container image management, and provide on-call troubleshooting and cross-team collaboration.

Lead and scale technical programs for Anyscale's core product, coordinating engineering and product teams to plan requirements, identify risks, manage schedules, and deliver commercial ML/AI solutions on cloud and big-data platforms.

The role involves developing open source software for distributed programming, optimizing performance, improving testing processes, and communicating findings publicly.

Lead Ray Data, a scalable data processing library, by managing the product roadmap, encouraging open source adoption, and engaging with customers.

The Customer Engineer manages post-sale customer journeys, resolves issues, advises customers on Anyscale platform, and collaborates with engineering teams.

The Software Engineer will develop and optimize infrastructure for distributed AI workloads, focusing on cloud-native deployments and systems orchestration while enhancing reliability, performance, and scalability.

The role focuses on optimizing ML inference at scale, collaborating with product teams, integrating Ray Data, and enhancing open-source contributions.