Distributed Software Engineer

Cerebras Systems(25 days ago)

HybridFull TimeSenior$163,941 - $219,709 (estimated)Engineering

About this role

The role is part of Cerebras' Cluster Engineering team responsible for delivering software that powers wafer-scale AI supercomputers deployed in large datacenters. The engineer will contribute to the development and reliability of cluster deployment, operations, and monitoring systems that support both on-premise and cloud environments for enterprise and research customers.

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Required Skills

Software Architecture
System Design
Distributed Systems
Kubernetes
Prometheus
Grafana
GoLang
Python
Bash
Debugging

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About Cerebras Systems

cerebras.ai

Cerebras builds purpose‑built AI compute systems centered on its wafer‑scale processors to accelerate training and inference of large neural networks. Their integrated hardware‑and‑software platform delivers high throughput, low latency, and very large on‑chip memory/interconnect to shorten time‑to‑train for demanding AI workloads. Cerebras targets research labs and enterprises that need to scale experiments and deploy large models more quickly, pairing systems, tooling, and support to simplify large‑model development.