Anyscale

Staff Software Engineer, Ray Core

San Francisco FullTime Remote $240/year
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Job Description

ABOUT ANYSCALE: At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, 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 https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 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.

Frequently Asked Questions

What does the Staff Software Engineer, Ray Core role at Anyscale involve?

The Staff Software Engineer, Ray Core position at Anyscale in San Francisco is a fulltime role. ABOUT ANYSCALE: At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?

What skills are required for Staff Software Engineer, Ray Core at Anyscale?

Key skills for this role include: Java, Rust, C++, Scala, Azure, Google Cloud, Machine Learning, Spark, Kafka.

What is the salary for Staff Software Engineer, Ray Core at Anyscale?

The listed compensation for this role is $240/year. Actual salary may vary based on experience and location.

Is the Staff Software Engineer, Ray Core position at Anyscale remote or on-site?

This position is Remote. You can work from anywhere, subject to the employer's remote work policy.

How do I apply for Staff Software Engineer, Ray Core at Anyscale?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

Staff Software Engineer, Ray Core at Anyscale is a fulltime engineering position in San Francisco. Key skills include Java, Rust, C++, Scala, Azure, Google Cloud, Machine Learning, Spark. Compensation: $240/year. Education: Master's Degree preferred. Experience: 7+ years.

This role is classified as remote and is suitable for staff-level professionals. Ghost Score 35/100 (Possibly Stale) indicates this listing is possibly stale — verify on the employer site.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.