Staff Software Engineer, Ray Core
Anyscale · San Francisco
About this role
**About Anyscale** Anyscale (https://www.anyscale.com/) is on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray (https://docs.ray.io/en/latest/), an open-source project powering scalable machine learning across teams and industries. With Anyscale, developers and data scientists can scale ML applications from their laptop to the cluster—without needing to be distributed-systems experts. **Role: Staff Software Engineer, Ray Core** As part of this role, you will: - Own a major technical area of Ray Core end to end—defining the roadmap, identifying key technical problems, and driving execution through production. - Lead large, technically complex projects across multiple engineers, teams, and/or organizations. - Set technical direction and make architectural decisions for distributed computing infrastructure supporting demanding production workloads. - Design, build, and evolve core distributed-systems primitives (not just integrate existing platforms). - Work on problems across distributed execution, scheduling, resource management, fault tolerance, concurrency, networking, storage, and system performance. - Stay hands-on with implementation and debugging in a systems-oriented codebase, raising the technical bar for your team. - Help shape the longer-term architecture and evolution of Ray Core as workloads and scale grow. **We’d love to hear from you if you have:** - 6+ years of software engineering experience with increasing technical ownership. - Experience leading substantial end-to-end projects (problem definition → roadmap → architecture → implementation → production ownership). - Experience leading multi-engineer efforts spanning multiple quarters. - Deep experience with distributed systems and computer systems (not primarily using existing distributed platforms). - Strong systems programming experience in C++, Rust, Java, or similar lower-level languages. - Strong understanding of systems concepts such as multithreading/concurrency, distributed coordination, resource management, fault tolerance, performance, or networking. - Relevant experience with systems such as databases, streaming systems, distributed runtimes, operating systems, schedulers, storage systems, Spark, Kafka, or similar infrastructure. - A track record of mentoring engineers and raising team technical standards. - **Nice to have:** Contributions to open-source infrastructure projects. **Why Anyscale** - Mission-driven: make scalable computing effortless. - Ray is used in production by companies including OpenAI, Uber, Spotify, Instacart, and Cruise. - Backed by Andreessen Horowitz, NEA, and Addition (with $250M+ raised to date). - Partnerships with Azure, CoreWeave, and Google Cloud to bring AI-native compute to enterprise environments. - Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered). - Flexible time off, paid parental leave, and mental health support. Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other protected characteristic.
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