What this interview will probe
Builds and hardens the security posture of Cerebras' cloud and on-prem inference infrastructure, automating detection, secrets management, and access controls across Linux fleets and containerized services. Works across infra and ML platform teams to secure the path from customer data to wafer-scale compute. A technical interview would probe threat modeling of a multi-tenant ML service, Linux/container security internals, and how you would design least-privilege access and detection for a high-throughput inference cluster.
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