Software Engineer, Inference Platform
Cerebras · Sunnyvale, CA · Toronto, CAN
CHECKED 9H AGO
Infrastructureonsite
At a glance
Highlights
- Deliver 10x faster inference than GPU-based hyperscale cloud services.
- Own orchestration layer running inference on datacenter clusters.
- Architect active-active systems with rapid failover and clear SLOs.
Ideal candidate
A builder who thrives on unsolved distributed systems problems and owns critical production paths end-to-end. You care about reliability, low latency, and shaping platform direction with high engineering rigor.
Requirements
- 3+ years in software engineering building and operating large-scale distributed systems or cloud infrastructure
- Experience in distributed systems, ideally with Kubernetes
- Experience building highly available, latency-sensitive systems at scale
- Experience with security including certificates, TLS, mTLS
- Experience optimizing latency, throughput, and efficiency in high-QPS systems
- Strong proficiency in backend or systems languages such as Go or C++
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