6+ years of software engineering experience with progressive technical ownership
Proven track record in leading substantial projects from inception to production
Experience managing multi-engineer efforts over extended timelines
In-depth knowledge of distributed systems outside of existing platforms
Proficiency in systems programming languages like C++, Rust, or Java
Strong understanding of core systems concepts including multithreading and fault tolerance
Experience with relevant systems such as databases, distributed runtimes, or streaming systems
Mentorship experience in elevating technical capabilities of teams
Responsibilities
Own a critical technical area of Ray Core, managing the roadmap and execution
Lead complex projects across multiple teams and engineers
Set technical direction and make architectural choices for distributed infrastructure
Design and develop core distributed-systems primitives
Tackle challenges in distributed execution, scheduling, and resource management
Stay hands-on in implementation and debugging within the codebase
Shape the future architecture of Ray Core to accommodate growing workloads
Benefits
Mission-driven work enabling scalable computing for AI
Market presence with high-profile clients like OpenAI and Uber
Significant backing from notable venture capital firms
Strategic partnerships enhancing enterprise AI capabilities
Comprehensive health, dental, and vision coverage
Flexible time off policy and paid parental leave
Mental health support for employees
Full Job Description
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.
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
About Anyscale
SOHO 3Q is a prime community-focused, shared office space in China managed by SOHO China. It is headquartered at Chaowai SOHO in Beijing, China. As of June 2019, the coworking space had 30 spaces in China.
