Software Engineer, Kernel Reliability
Cerebras · United States and Canada
CHECKED 7H AGO
Infrastructureonsite
At a glance
Highlights
- Improve reliability of large-scale AI compute clusters and production services.
- Build tooling to speed up failure analysis and cut downtime after failures.
- Co-design next-generation AI architectures with reliability in mind.
Ideal candidate
A deeply technical, hands-on problem solver who loves debugging complex systems and root-cause analysis. You care about reliability and enjoy building tools alongside hardware and operations teams.
Requirements
- Strong programming skills in C/C++ and Python
- Solid foundations in operating systems, computer architecture and systems programming
- Ability to debug complex issues using logs, traces and standard debugging workflows
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