Teams at Cerebras Systems Inc.

Develop kernel-centric reliability solutions for AI compute clusters and production services. Responsibilities include debugging failures, building diagnostic tools, supporting incident response, performing root-cause analysis, improving kernel and software reliability, and collaborating with systems, hardware, ASIC, and architecture teams on reliability-focused designs.

Lead architecture and evolution of enterprise, data center, and cloud networks for hyperscale AI; design secure, high-performance fabrics (spine/leaf, RDMA); build AI-agent review frameworks; implement segmented zero-trust network designs; set resiliency, observability, and capacity standards; mentor global engineers and guide cross-functional initiatives.

Join IT & Security to secure and scale enterprise IT, cloud, network, and infrastructure; build automation and tooling; support detection, response, and vulnerability management; improve identity, endpoint, and systems security; and partner cross-functionally to develop processes that enable secure, reliable, and scalable AI workloads.