Staff Software Engineer, Ray Core

Anyscale; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Competitive salary

Equity

Health/dental/vision coverage

Flexible time off

Parental leave

Mental health support

Job summary

Anyscale is building the best place to run Ray, enabling developers to scale ML apps from laptop to cluster without distributed-systems expertise. We are backed by top-name investors and serve world-class customers.

You will own major technical areas of Ray Core, define roadmaps, drive production-grade delivery, and mentor engineers, while shaping long-term architecture as workloads scale.

Qualifications

• Deep experience with distributed systems and computer systems.
• Track record of leading large projects and owning outcomes in production.
• Strong systems programming in C++, Rust, Java or similar.

Responsibilities

• Own a major technical area of Ray Core end to end, defining roadmap and execution.
• Lead large, technically complex projects across teams and organizations.
• Set technical direction for distributed computing infrastructure.
• Design and evolve core distributed-systems primitives.
• Work on areas like scheduling, resource management, fault tolerance, or networking.
• Remain hands-on with implementation and debugging in a systems codebase.

Skills

Distributed systems

C++

Rust

Java

Multithreading/concurrency

Distributed coordination

Performance optimization

Mentoring engineers

Tools

Database systems

Streaming systems

Spark

Kafka

Schedulers

Job 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 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 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.