Software Engineer, Ray Core
Anyscale · Bengaluru, Karnataka
CHECKED 1H AGO
Infrastructureonsite
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