Cerebras

6 months ago

Distributed Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Design and build software for large-scale Cerebras Wafer-Scale Clusters, automating bare-metal setup across networking, OS, and applications. Develop orchestration and scheduling for multi-user job submission, plus push-button workflows for upgrades and security patching. Create monitoring, alerting, visualization, and user/admin tools to manage cluster health, failures, and high availability across on-prem and cloud deployments using distributed-systems practices.

Location: United States, Canada

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Automate bare-metal configuration of networking, OS, and application software across large clusters.
•Build push-button workflows for cluster upgrades, downgrades, and security patching to minimize downtime.
•Develop orchestration and scheduling for resource allocation and multi-user job submission.
•Support both on-premise and cloud-mode cluster deployment and operations.
•Implement monitoring, failure detection/handling, alerting, and visualization for cluster and job health, including high availability.

Key Requirements

•Demonstrated software architecture, system design, and development skills.
•Experience developing distributed systems in large-scale cluster environments.
•Strong understanding of Kubernetes (K8s) and the Prometheus/Grafana ecosystem.
•Proficiency developing in GoLang, Python, and bash.
•Ability to debug distributed systems and develop tests to prevent regressions.

Experience:Distributed systemsDatacentersAI infrastructure

Skills:Software architectureSystem designDebuggingDistributed systemsTesting

Tech Stack:KubernetesK8sPrometheusGrafanaGoLangPythonBash

Company Brief

Cerebras

Designs and builds wafer-scale AI accelerators and systems for large-scale deep learning workloads, delivering specialized hardware and software to accelerate model training and inference for enterprises and research institutions.

Industry: Hardware Devices

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn

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Cerebras

6 months ago

Distributed Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States, Canada

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Automate bare-metal configuration of networking, OS, and application software across large clusters.
•Build push-button workflows for cluster upgrades, downgrades, and security patching to minimize downtime.
•Develop orchestration and scheduling for resource allocation and multi-user job submission.
•Support both on-premise and cloud-mode cluster deployment and operations.
•Implement monitoring, failure detection/handling, alerting, and visualization for cluster and job health, including high availability.

Key Requirements

•Demonstrated software architecture, system design, and development skills.
•Experience developing distributed systems in large-scale cluster environments.
•Strong understanding of Kubernetes (K8s) and the Prometheus/Grafana ecosystem.
•Proficiency developing in GoLang, Python, and bash.
•Ability to debug distributed systems and develop tests to prevent regressions.

Experience:Distributed systemsDatacentersAI infrastructure

Skills:Software architectureSystem designDebuggingDistributed systemsTesting

Tech Stack:KubernetesK8sPrometheusGrafanaGoLangPythonBash

Company Brief

Cerebras

Industry: Hardware Devices

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn