Software Engineer, Ray Core
Anyscale · Posted Sep 29
Distributed computing platform and managed cloud services for scaling artificial intelligence and machine learning workloads
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About the role
Anyscale is commercializing Ray, a popular open-source project building an ecosystem of libraries for scalable machine learning, with the goal of making distributed computing accessible to software developers of all skill levels. The Ray Core team develops and maintains the Ray C++ backend, including the distributed scheduler, language runtime integration, and I/O and memory subsystems, and is responsible for Ray's reliability, scalability, and performance. This role contributes to the Ray backend, working on a balance of new features and distributed libraries, test infrastructure improvements, debugging, and longer-term architectural improvements.
What you will do
- Develop high quality open source software to simplify distributed programming (Ray)
- Identify, implement, and evaluate architectural improvements to Ray core
- Improve the testing process for Ray to make releases as smooth as possible
- Communicate your work to a broader audience through talks, tutorials, and blog posts
Skills used in this role
What the employer is looking for
- At least 2 year of relevant work experience
- Solid background in algorithms, data structures, system design
- Experience in building scalable and fault-tolerant distributed systems
- Knowledge of distributed model training and inference (e.g. tensor parallel, pipeline parallel) is preferred
- Knowledge of GPU programming is preferred
Benefits and support
- 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
Anyscale is the company behind Ray, an open-source distributed computing framework designed to scale artificial intelligence and machine learning workloads seamlessly from a laptop to the cloud. Its managed platform offers elastic GPU orchestration, distributed training, and batch inference capabilities to help development teams build production-grade AI applications without infrastructure complexities.
- Industry
- Artificial Intelligence
- Company size
- 200-500 employees
- Founded
- 2019
- Location
- San Francisco, California, USA
- Funding stage
- Series C
Funding
Series C · $281M raised
- 2021-10-15Series C$199M
- 2020-10-21Series B$40M
- 2019-08-02Series A$20M
- 2019-02-18Seed$22M
Leadership
Chief Executive Officer
Co-founder & Chief Strategy Officer
Co-founder & CTO
Co-founder & Executive Chairman
Recent coverage
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