Teams at Cerebras Systems Inc.

Operate, monitor, and optimize large-scale AI compute clusters built on the Wafer-Scale Engine. Develop and own software for cluster operations (monitoring, automation, APIs, dashboards), deploy and debug Docker-based services, troubleshoot distributed systems, maximize compute capacity, and participate in a 24/7 on-call rotation while collaborating cross-functionally to improve operational visibility and reliability.

Own quality and reliability of the Cerebras Inference Platform by building test infrastructure and automation, validating Kubernetes and hardware deployments, debugging distributed systems and networking, developing testbeds for performance and scalability, and partnering with platform engineers to ensure production-ready releases.

Harden low-level platform layers across firmware, bootloader, Linux kernel, and hardware roots of trust. Design secure/measured boot and attestation, review kernel modules/drivers for memory safety and privilege issues, build kernel telemetry (eBPF), and drive fleet-wide vulnerability response and remediation.