Principal Engineer, AI Inference Reliability
Cerebras · United States and Canada
CHECKED 8H AGO
Infrastructureonsiteprincipal
At a glance
Highlights
- Own the mission to make Cerebras Inference the most reliable AI service.
- Drive reliability across wafer-scale systems and multi-region cloud deployments.
- Build chaos testing and fault-injection tools for ultra-fast AI inference.
Ideal candidate
Hands-on reliability leader who thrives owning SLOs and incident culture at massive scale and loves partnering across hardware and software teams to make low-latency distributed systems bulletproof.
Requirements
- Bachelor's or master's degree in computer science or related field
- 7+ years of experience in backend, infrastructure, or reliability engineering for large-scale distributed systems
- Strong programming skills in Python, C++, Go, or Rust
- Deep experience with SLO/SLI/SLA design, incident response, and postmortem culture
- Excellent communication and cross-functional leadership skills
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