Software Engineer, Ray Core

# Staff Software Engineer, Ray Core Anyscale San  Francisco (Hybrid)
Full-time $240,000 – $270,000 / yearAI tools:

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You’ll own a major technical area of Ray Core, setting its roadmap and driving complex distributed-systems projects through production. The role remains hands-on in implementation and debugging while shaping architecture, leading work across teams, and mentoring engineers.
* Permanent* Hybrid
* 6+ years### Skills and expertiseC++Rust Java Ray distributed  systemsconcurrencynetworkingstorage systems### Key responsibilities
* Define the roadmap and technical direction for a major Ray Core area.
* Lead complex, multi-engineer projects from problem definition through production outcomes.
* Design and implement distributed-systems primitives while mentoring engineers.## How this job compares

Compared with 343 open staff engineering jobs on October 10, 2026.Pay:
This job pays $240K to $270K a year. The 219 open staff engineering jobs that publish US pay start at $206K on average, so this job starts about 16% higher.

Similar open jobs:
We Love AI Jobs lists 343 open staff engineering jobs at 113 companies.

Remote work:
This job is hybrid. 47 of the 343 staff engineering jobs (14%) are remote.

AI in this role:
Medium. The role uses AI tools and works with AI systems as a regular part of the job. The role builds Ray Core infrastructure used to run distributed AI workloads. Its day-to-day focus is foundational distributed systems rather than model development.## Full description

About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

What you'll do
• 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.

What we're looking for
• 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…