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Principal Engineer, AI Inference Reliability

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference serv

In inglese

Company

Cerebras

Location

United States and Canada

Status

Open

Posted

2025-10-29T02:39:37.801+00:00

Cerebras is hiring a principal-level, hands-on reliability lead for its inference service, the one that serves hosted models on wafer-scale hardware. The role covers SLOs and incident response, fault detection, failover and throttling across regions and data centers, plus internal chaos-testing and fault-injection tooling, and mentoring engineers. The posting asks for a computer science degree, seven or more years in backend, infrastructure or reliability engineering on large distributed systems, and strong Python, C++, Go or Rust. Work is onsite; experience with large-scale AI infrastructure is a bonus.