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Software Engineer, Ray Core

AnyScale

Bengaluru, Karnataka, IndiaFull-time$10–35K/yrPosted 10mo agoVerified open 5 days ago

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At a glance

Compensation
$10–35K/yr
Location
Bengaluru, Karnataka, India
Schedule
Full-time
Work Authorization
Not specified

Job overview

AnyScale is hiring a Software Engineer, Ray Core. Anyscale is seeking a Software Engineer for the Ray Core team in Bangalore to contribute to the Ray C++ backend. The role involves developing open‑source software, enhancing performance and reliability, and communicating advancements through talks and tutorials, supporting developers in scaling machine learning applications.

Key focus areas include Develop high quality open source software to simplify distributed programming (Ray), Identify, implement, and evaluate architectural improvements to Ray core, and Improve the testing process for Ray to make releases as smooth as possible.

Successful candidates bring 2+ Years Of Relevant Work Experience. Important skills include Data Structures and Algorithms, System Design, Building Scalable Distributed Systems, Building Fault-Tolerant Distributed Systems, Open Source Software Development, and Communication. Preferred (not required): Distributed Model Training, Distributed Model Inference, Tensor Parallel, and Pipeline Parallel.

Skills & qualifications

RequiredNice to have

Skills

Data Structures and AlgorithmsSystem DesignBuilding Scalable Distributed SystemsBuilding Fault-Tolerant Distributed SystemsOpen Source Software DevelopmentCommunicationDistributed Model TrainingDistributed Model InferenceTensor ParallelPipeline ParallelGPU Programming

Qualifications

2+ Years of Relevant Work Experience

Full job description

About Anyscale:

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.

About the role

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.

About the Ray Core Team

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.

A snapshot of projects you can work on:

  • Optimizing performance of large-scale workloads on Ray

  • Stability and stress testing infrastructure

  • Improving fault tolerance (HA)

As part of this role, you will:

  • 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

We'd love to hear from you if have:

  • 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

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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