Skip to content
← Anyscale

Software Engineer (Ray Core)

Anyscale · San Francisco

CHECKED 4H AGO

Infrastructureonsitesenior$215k–$265k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build the distributed backend powering large-scale ML workloads.
  • Optimize performance and fault tolerance for massive Ray workloads.
  • Improve testing and architecture to make Ray releases smooth.

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 5+ years building reliable distributed systems who loves deep performance work and simplifying complex infrastructure for other developers through open source.

Requirements

  • At least 5 years of relevant work experience
  • Experience 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, and system design
  • Knowledge of distributed model training and inference (e.g. tensor parallel, pipeline parallel) is preferred
  • Knowledge of GPU programming is 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 ↗