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# Staff Software Engineer

- **Company:** Anyscale, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, C++ (Programming Language), Databases, Software Debugging, Distributed Systems, Fault Tolerance, Open Source Technology, Software Architecture, Software Engineering, System Programming, Rust (Programming Language), Multithreading, Concurrency, Apache Spark, Information Technology, Apache Kafka, Stream Processing
- **Published:** September 19, 2026
- **Apply:** https://startup.jobs/staff-software-engineer-ray-core-anyscale-com-10106041

## About the Role

* 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.
 * 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.
 * Experience building foundational 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.

## Description

* 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.


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