Distributed Systems Engineer – AI Supercomputing Clusters

Cerebras; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equal opportunity employer

Inclusive work environment

Opportunities for continuous learning

Non-corporate work culture

Job summary

Cerebras is looking for a skilled engineer to automate hardware and software workflows in large AI supercomputers. The candidate will work on ambient cluster configurations, resource allocation, and monitoring capabilities, contributing to cutting-edge AI technology.

The ideal individual has a solid background in software architecture and development using Kubernetes and distributed systems. Join a forward-thinking team committed to diversity and equal opportunity in the workplace.

Qualifications

• Strong track record of software architecture, system design and development.
• Strong track record of development in distributed cluster.
• Strong understanding of Kubernetes (K8s) software ecosystem.
• Development skills in GoLang, Python, and bash.
• Strong debugging skills with distributed systems.

Responsibilities

• Automate configuration of networking, OS, and applications on large clusters.
• Implement workflows for upgrades, downgrades, and security patching.
• Create orchestration and scheduler system for job management.
• Support both on-premise and cloud deployment.
• Monitor and handle resource failures in clusters.
• Develop user-facing tools for job status and metrics.
• Create administrator tools for managing large clusters.

Skills

Software architecture

System design

Distributed cluster development

Kubernetes ecosystem

Prometheus

Grafana

GoLang

Python

Bash

Debugging distributed systems

Job description

Cerebras is looking for a skilled engineer to automate hardware and software workflows in large AI supercomputers. The candidate will work on ambient cluster configurations, resource allocation, and monitoring capabilities, contributing to cutting-edge AI technology.

The ideal individual has a solid background in software architecture and development using Kubernetes and distributed systems. Join a forward-thinking team committed to diversity and equal opportunity in the workplace.