Staff Software Engineer, Ray Core

Anyscale; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Anyscale is looking for a senior software engineer to own a major Ray Core area and drive the technical roadmap from conception to production. You will lead multi-engineer projects, make architectural decisions, and influence the direction of distributed infrastructure.

You will work hands-on in a systems-focused codebase, mentor engineers, and push for architectural excellence as Ray scales across workloads and clusters.

Qualifications

• 6+ years of software engineering experience with growing technical ownership.
• Experience leading substantial end-to-end projects across multiple engineers and quarters.
• Deep experience with distributed systems and computer systems, not relying on existing platforms.
• Strong systems programming in languages like C++, Rust, Java or similar.
• Ability to set technical direction and drive architecture for distributed infrastructure.

Responsibilities

• Own a major technical area of Ray Core end to end, define roadmap and drive production execution.
• Lead large, technically complex projects spanning engineers, teams, and organizations.
• Set technical direction and make architectural decisions for distributed computing infrastructure.
• Design, build, and evolve core distributed-systems primitives beyond existing platforms.
• Work on distributed execution, scheduling, resource management, fault tolerance, concurrency, networking, storage, or performance.
• Stay hands-on with implementation and debugging in a systems-oriented codebase.
• Help shape Ray Core's long-term architecture as workloads scale.

Skills

Distributed systems

Systems programming

C++

Rust

Java

Leadership

Mentoring engineers

Tools

Ray Core

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.

As part of this role, you will:

• 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.

We’d love to hear from you if you have:

• 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.

• 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.

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.