AI Inference Core - Infrastructure SW Engineer
Cerebras · Sunnyvale, CA
CHECKED 8H AGO
Infrastructureremotemid-level
At a glance
Highlights
- Design core orchestration systems behind the world's largest AI chip.
- Build control-plane frameworks managing execution across large clusters.
- Help define APIs other engineering teams depend on every day.
Ideal candidate
Systems thinker with 3+ years building maintainable platforms who loves debugging complex distributed problems and designing clean abstractions that other engineers rely on daily.
Requirements
- 3+ years of professional software-engineering experience
- Strong proficiency in Python and understanding of runtime behavior
- Experience designing maintainable systems, libraries, frameworks or backend services
- Good judgment around software architecture, abstraction and maintainability
- Understanding of concurrency including processes, threads and async execution
- Foundational understanding of operating systems, processes and filesystems
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed