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Key skills for this role
Own a major technical area of Ray Core end to end, defining the roadmap, identifying the most important technical problems, and driving execution through production.
Lead large, technically complex projects spanning multiple engineers, teams, and/or organizations.
Set technical direction and make architectural decisions for distributed computing infrastructure used by demanding production workloads.
Design, build, and evolve core distributed-systems primitives rather than simply integrating existing platforms or frameworks.
Work on problems involving areas such as distributed execution, scheduling, resource management, fault tolerance, concurrency, networking, storage, or system performance.
Stay hands-on with implementation and debugging in a systems-oriented codebase, while raising the technical bar for the engineers around you.
Help shape the longer-term architecture and evolution of Ray Core as our workloads and scale continue to grow.
6+ years of software engineering experience, with a track record of increasing technical ownership.
Experience leading substantial projects end to end, including defining the problem, creating a roadmap, making architectural decisions, driving implementation, and owning the outcome in production.
Experience leading projects that are larger than a single-engineer effort, typically spanning multiple engineers and lasting multiple quarters.
Deep experience with distributed systems and computer systems—not primarily using existing distributed platforms.
Strong systems programming experience in languages such as 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.
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More from this employer
San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
Experience working on systems such as databases, streaming systems, distributed runtimes, operating systems, schedulers, storage systems, Spark, Kafka, or similar infrastructure is highly relevant.
A track record of mentoring engineers and raising the technical bar of the teams around you.
Nice to have: Contributions to open-source infrastructure projects.
We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms
Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise
We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date
Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments
Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)
We offer 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 characteristic protected by federal or state law.
AI infrastructure company powered by the open-source Ray framework, enabling developers to run and scale machine learning and AI workloads on any cloud.
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Senior · 6+ years experience
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