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.

Design, build, and operate firewall, segmentation, and zero-trust controls across data center, corporate, and cloud networks. Implement infrastructure-as-code for policy and CI/CD deployment, manage lifecycle and rule hygiene, build network detection capabilities, operate VPN/remote access patterns, and document architecture and runbooks while partnering with Network Engineering and Security Operations.