Empower secure software development by leading SSDL initiatives, partnering with engineering to integrate security features, and managing vulnerabilities to enhance product integrity and trustworthiness.

Transform the ML Developer Experience by creating intuitive tools and interfaces for AI workloads, ensuring reliability and scalability while collaborating across teams to deliver high-quality software for developers and enterprises alike.

Help us enhance the performance and scalability of a cutting-edge data processing engine, focusing on multi-modal and production training workloads. Collaborate with diverse clients while building robust, fault-tolerant systems for AI.

Lead high-performing teams to develop next-gen infrastructure for distributed AI applications. Drive strategy on cloud integration, reliability, and customer engagement while solving complex systems challenges for seamless deployment.

The Software Engineer (Ray Core) will develop high-quality open-source software to simplify distributed programming and contribute to the Ray backend, focusing on performance, reliability, and scalability. The role involves implementing architectural improvements, enhancing testing processes, and communicating work through various channels.