Distributed Software Engineer

Job summary

Responsibilities

The Cluster engineering team owns the software that turns thousands of wafers, servers, and switches into a cloud that stays up, stays busy, and stays debuggable. We stand clusters up from bare metal, schedule training and inference workloads across the fleet, keep it healthy, and make it…

• Declarative, CRD-driven automation of bare-metal networking, OS, and application software across clusters of Cerebras systems, servers, and switches, built to reconcile thousands…
• Push-button cluster install, upgrade, and security patching with real downtime budgets, gated by canaries
• Kubernetes operators that schedule large inference workload: resource locks, priority queues, network topology, and health-aware placement
• gRPC control-plane services, authorization, admission webhooks, and quota policy for a multi-tenant fleet
• Metrics and log pipelines with purpose-built exporters for wafer-scale systems, servers (Redfish, IPMI), and network fabric (gNMI, sFlow), on Prometheus and Grafana, with SLOs…

What they're looking for

• 5+ years building and operating production distributed systems or infrastructure software
• Production-quality Go and Python
• Real Kubernetes depth: you have written or debugged controllers and operators, and you understand CRDs, reconciliation semantics, informer caches, admission webhooks, and RBAC
• Strong debugging skills across distributed systems, Linux, and networking
• Prometheus and Grafana as a practitioner: PromQL, exporter design, cardinality discipline, useful alerts

Tech stack

• Go
• Python
• Kubernetes