Cerebras Systems

Distributed Software Engineer

In short

This role builds and operates the software that turns large fleets of Cerebras systems, servers, and switches into reliable, observable clusters. The company is a hardware/AI infrastructure product company, and the work centers on bare-metal automation, Kubernetes operators, gRPC control-plane services, and observability (Prometheus/Grafana). It demands 5+ years of production distributed-systems experience, strong Go and Python skills, deep Kubernetes internals knowledge (CRDs, reconciliation, admission webhooks, RBAC), and comfort debugging Linux and networking issues.

About the Role
You will build and operate software that turns large fleets of Cerebras systems, servers, and switches into reliable, observable clusters. You will automate bare-metal infrastructure, create Kubernetes operators and control-plane services, improve fleet reliability, and expose cluster capabilities through APIs, CLIs, and an MCP gateway.
Requirements
•5+ years building and operating production distributed systems or infrastructure software
•Production-quality Go and Python skills
•Experience writing or debugging Kubernetes controllers and operators
•Knowledge of CRDs, reconciliation semantics, informer caches, admission webhooks, and RBAC
•Debugging skills across distributed systems, Linux, and networking
•Experience with Prometheus, Grafana, PromQL, exporter design, and alerting
•Active use of coding agents and rigor in verifying their output
Responsibilities
•Build declarative CRD-driven automation for bare-metal networking, operating systems, and application software across clusters
•Deliver push-button cluster installation, upgrades, and security patching with canaries and downtime budgets
•Develop Kubernetes operators for scheduling large inference workloads
•Build gRPC control-plane services, authorization, admission webhooks, and quota policies
•Create metrics and log pipelines, exporters, SLOs, and alerting for systems, servers, and network fabric
•Implement failure detection, highly available control planes, and automated recovery
•Develop CLIs, APIs, and an MCP gateway for users, operators, and AI agents

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