Principal Engineer, Inference Cloud
Cerebras · Sunnyvale, CA
CHECKED 7H AGO
Infrastructureonsiteprincipal
At a glance
Highlights
- Build on the world's largest AI chip delivering 10x faster inference.
- Own the cloud layer behind ultra-fast inference at multi-region scale.
- Architect active-active systems with rapid failover and graceful degradation.
Ideal candidate
Senior IC who thrives in ambiguity and owns latency-sensitive platforms end-to-end, motivated by setting technical direction and raising operational rigor across teams.
Requirements
- 10+ years in software engineering building and operating large-scale distributed systems or cloud infrastructure as an IC
- Deep expertise in distributed systems architecture including networking, orchestration, containers, and multi-region services
- Track record of architectural decisions for highly available, latency-sensitive systems at scale
- Experience optimizing latency, throughput, and efficiency in high-QPS systems
- Strong proficiency in Go, C++, or Python with ability to contribute production code directly
- Experience with observability and SLI/SLO-driven operations including metrics, tracing, alerting, and incident response
- Ability to influence senior engineers and cross-functional partners through technical credibility
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