Software Engineer (Ray Core)
Anyscale · San Francisco
CHECKED 4H AGO
Infrastructureonsitesenior$215k–$265k
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