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← Anyscale

Software Engineer, Ray Core

Anyscale · Bengaluru, Karnataka

CHECKED 1H AGO

Infrastructureonsite
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At a glance

Highlights

  • Build open-source Ray backend used by OpenAI, Uber, and Spotify.
  • Optimize performance of large-scale distributed workloads on Ray.
  • Improve fault tolerance and reliability of distributed applications.

What they offer

  • Competitive salary and equity
  • Health/dental/vision coverage (many plans up to 99% employer-covered)
  • Flexible time off
  • Paid parental leave
  • Mental health support

Ideal candidate

Systems-minded engineer with 2+ years experience who loves high-performance distributed systems and open source. Motivated by simplifying scalable computing and sharing work with the community.

Requirements

  • At least 2 years of relevant work experience
  • Solid background in algorithms, data structures, system design
  • Experience building scalable and fault-tolerant distributed systems
  • Knowledge of distributed model training and inference preferred (e.g. tensor parallel, pipeline parallel)
  • Knowledge of GPU programming preferred

Lab profile

About Anyscale

Democratizing distributed computing by commercializing Ray for scalable machine learning and AI.

What they build

  • Ray
  • Ray Data
  • Anyscale Runtime

Known for

  • Distributed computing
  • Scalable machine learning
  • Distributed LLM inference
  • Cloud infrastructure
More about Anyscale →
Apply on the lab’s site ↗