Anyscale에서 Ray Core 팀의 백엔드 엔지니어를 채용합니다. C++ 기반의 분산 시스템 개발 경험과 분산 시스템 설계 역량이 필수입니다. 대규모 워크로드 최적화 및 결함 허용 시스템 구축을 주도하며, 오픈 소스 생태계에 기여할 수 있습니다. 5년 이상의 경력을 갖춘 분들의 많은 지원 바랍니다.
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.
Ray aims to provide a universal API for building distributed applications. To achieve this goal requires a distributed system with high levels of performance and reliability. We're looking for engineers with systems software experience that are interested in contributing to the Ray backend.
The Ray Core team develops and maintains the Ray C++ backend (e.g., distributed scheduler, language runtime integration, I/O and memory subsystems). We are responsible for the reliability, scalability, and performance of Ray as well as ensuring that Ray provides the right feature set to support higher level libraries and use cases. The team works on a balance of new features / distributed libraries, test infra improvements, debugging, and longer-term architectural improvements to Ray.
Optimizing performance of large-scale workloads on Ray
Stability and stress testing infrastructure
Improving fault tolerance (HA)
Leading cross-team projects while mentoring junior team members
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
At least 5 year of relevant work experience
Experience in building scalable and fault-tolerant distributed systems
Extensive experience working in C/C++ and on low level operating systems
Solid background in algorithms, data structures, system design
Knowledge of distributed model training and inference (e.g. tensor parallel, pipeline parallel) is preferred
Knowledge of GPU programming is preferred
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.
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