Staff Software Engineer, Inference Cloud
Cerebras · Sunnyvale, CA
CHECKED 8H AGO
Infrastructureonsitestaff
At a glance
Highlights
- Own major areas of Inference Cloud architecture behind ultra-fast AI service.
- Design multi-region traffic, routing and failover for global-scale inference.
- Build systems delivering 10x faster inference than GPU hyperscale clouds.
Ideal candidate
Seasoned distributed-systems builder who thrives on high-scale, latency-sensitive challenges and owns critical architecture end-to-end. You lead through technical depth, operational rigor, and calm production leadership.
Requirements
- 8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.
- Deep expertise in distributed systems architecture in cloud environments, including networking, compute orchestration, container platforms, and multi-region production services.
- Strong track record of making sound architectural decisions for highly available, latency-sensitive systems at scale.
- Experience optimizing latency, throughput, and efficiency in high-QPS systems.
- Strong proficiency in backend or systems languages such as Go, C++, or Python, with ability to contribute production code directly.
- Experience designing observability and reliability practices, including metrics, logging, tracing, alerting, incident response, and SLO-driven operations.
- Ability to influence senior engineers and cross-functional partners through technical credibility, communication, and judgment.
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