Staff Software Engineer - Observability
Cerebras · Sunnyvale, CA
CHECKED 6H AGO
Infrastructureremotestaff
At a glance
Highlights
- Build observability for world's largest AI chip powering ultra-fast inference.
- Design telemetry pipelines for fast debugging of large-scale distributed systems.
- Shape internal platforms powering enterprise-grade AI at unprecedented speed.
Ideal candidate
Backend or platform engineer passionate about reliability and debuggability in complex distributed systems. Thrives partnering across teams to reduce incidents and improve developer experience at scale.
Requirements
- Strong experience in backend or systems software engineering
- Proficiency in Go, C++, Rust, Java, or Python
- Solid understanding of distributed systems, networking and concurrency
- Hands-on experience with metrics, logs and distributed tracing
- Experience with production monitoring, alerting, SLIs and SLOs
- Experience building scalable telemetry pipelines
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