Staff Software Engineer, Ray Core
- Salary
- $240K - $270K
- Level
- Staff
- Work type
- Hybrid · San Francisco
Not stated in the posting: visa.
Open. First seen 2 October 2026.
About the role
About Anyscale:
Anyscale's standard text
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 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.
Why Anyscale
- 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's standard text
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.
What this role asks for
Particular to this role
Java · Kafka · Rust · Spark
Rare in Anyscale's other 17 open postings.
In most of Anyscale's ads
Azure · GCP · Machine Learning
Named in most of its open postings, whatever the role.
74% of this description is written for the role. The rest is Anyscale's standard text, folded away below.
Read against Anyscale's other open postings on this site.
The team: Engineering
This role is one of 7 open in Engineering.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (7 of 7), Azure (4 of 7), C++ (4 of 7), GCP (4 of 7), LLM (2 of 7), Python (2 of 7), PyTorch (2 of 7)
OTHER ROLES ON THIS TEAM
- Software Engineer (Ray Core) posted Sep 3
- Software Engineer (Ray Data) posted Aug 28
- Software Engineer, ML Developer Experience posted Aug 26
- Software Engineer, Ray Data posted Jul 28
- Software Engineer, Ray Core posted Jul 28
- Distributed LLM Inference Engineer posted May 27
From the team and dates on Anyscale's own job board.
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