Cerebras

Cerebras Systems is seeking a Principal Engineer for its Inference Cloud Platform team. This senior role is responsible for the cloud layer that powers the Inference Service, focusing on availability, latency, reliability, and multi-region scalability. The ideal candidate will identify high-leverage platform challenges, define long-term architecture, and contribute production code to critical paths. This position requires framing ambiguous problems, making trade-offs, and driving execution without a clear specification. The scope includes multi-region traffic architecture, graceful degradation under bursty AI workloads, high-QPS performance, and maintaining a fast, available platform under changing demand, in close partnership with ML, Product, and Infrastructure teams.

Cerebras Systems is seeking a Staff Engineer to take ownership of significant aspects of their Inference Cloud Platform architecture. This role focuses on the cloud layer supporting the Inference Service, with key responsibilities for availability, latency, reliability, and global scale. It's a hands-on individual contributor position ideal for an engineer passionate about tackling complex distributed systems challenges, including multi-region traffic architecture, handling bursty AI workloads, optimizing performance at high QPS, and maintaining a fast, available platform under load. The engineer will be involved in writing code, making critical architectural decisions, debugging production issues, and influencing technical direction across related teams.