Staff Software Engineer, Ray Core at Anyscale in San Francisco

Job description

• Application

Responsibilities

• 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.

Requirements

• 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.

Skills

Required

• C++
• Rust
• Java
• Distributed systems
• Computer systems
• Systems programming
• Multithreading/concurrency
• Distributed coordination
• Resource management
• Fault tolerance
• Performance
• Networking

Preferred

• Open-source infrastructure contributions

Benefits

• 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
• $240K – $270K • Offers Equity
• At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. As the market data changes over time, the target salary for this role may be adjusted.
• This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:
• Stock Options
• Healthcare plans, with premiums covered by Anyscale at 99%
• 401k Retirement Plan
• Wellness & Education Stipend
• Paid Parental Leave
• Fertility Benefits
• Paid Time Off
• Commute reimbursement
• 100% of in office meals covered