Distributed Software Engineer

About the role

Cerebras Systems builds the world’s largest AI chip and delivers industry‑leading training and inference speeds. 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. You will stand clusters up from bare metal, schedule training and inference workloads, keep the fleet healthy, and make it observable to users, operators, and AI agents.

Key responsibilities

• Declarative, CRD‑driven automation of bare‑metal networking, OS, and application software across clusters of Cerebras systems, servers, and switches.
• Push‑button cluster install, upgrade, and security patching with real downtime budgets, gated by canaries.
• Kubernetes operators that schedule large inference workloads, handling resource locks, priority queues, network topology, and health‑aware placement.
• Development of gRPC control‑plane services, authorization, admission webhooks, and quota policy for a multi‑tenant fleet.
• Building 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 and alerting.

Required profile

• 5+ years building and operating production distributed systems or infrastructure software.
• Strong production‑level Go and Python programming experience.
• Deep knowledge of Kubernetes controllers and operators, including CRDs, reconciliation, informers, admission webhooks, and RBAC.
• Excellent debugging skills across distributed systems, Linux, and networking.
• Self‑driving ability to create context, decide, and drive work across team boundaries in a fast‑moving, partially undocumented environment.

Required skills

• Go
• Python
• Kubernetes
• gRPC
• Prometheus
• Grafana
• PromQL
• Redfish
• IPMI
• gNMI
• sFlow

What we offer

• Build a breakthrough AI platform beyond the constraints of the GPU.
• Publish and open‑source cutting‑edge AI research.
• Work on one of the fastest AI supercomputers in the world.
• Enjoy job stability with startup vitality.
• Simple, non‑corporate work culture that respects individual beliefs.