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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 Senior Site Reliability Engineer will architect operational excellence for global production systems, design self-healing infrastructure, and promote reliability culture across engineering teams.

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

Design and implement scalable cloud infrastructure for distributed AI applications, focusing on control and data planes, optimizing performance and reliability of services, and integrating with existing tools.

Develop high-quality open-source software to simplify distributed programming while working on architectural improvements and enhancing testing processes for the Ray core.

Develop high-quality software for distributed programming, optimize Ray's Datasets library, and improve testing processes. Communicate work through tutorials and talks.

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.

As a Software Engineer at Anyscale, you'll build AI serving infrastructure, focusing on distributed systems, and ensuring high performance and reliability for ML applications.