Distributed Systems Engineer – AI Supercomputing Clusters

Cerebras Systems; United States; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Job stability with startup vitality

Open-source AI research opportunities

Non-corporate work culture

Job summary

Cerebras Systems is looking for skilled engineers to join their innovative team, focusing on automating configuration of large AI clusters. Candidates should be experienced in distributed systems and knowledgeable in technologies such as Kubernetes, GoLang, and Python.

Join us to work on groundbreaking AI platforms, contributing to one of the fastest AI supercomputers in the world and enjoying a supportive work environment.

Qualifications

• Strong track record in software architecture, system design, and development.
• Experience in distributed cluster development.
• Proficiency in Kubernetes, Prometheus, and Grafana.

Responsibilities

• Automate bare-metal configuration of networking, OS, and application software.
• Develop workflows for cluster upgrades and security patching.
• Create an orchestration and scheduler system for resource allocation.
• Support both on-premise and cloud operations.
• Implement monitoring and failure handling systems.
• Provide user-facing tools for job monitoring and metrics collection.
• Develop administrator tools for large cluster management.

Skills

Software architecture

System design

Distributed cluster development

Kubernetes (K8s)

Prometheus

Grafana

GoLang

Python

Bash

Debugging distributed systems

Testing new features

Job description

Cerebras Systems is looking for skilled engineers to join their innovative team, focusing on automating configuration of large AI clusters. Candidates should be experienced in distributed systems and knowledgeable in technologies such as Kubernetes, GoLang, and Python.

Join us to work on groundbreaking AI platforms, contributing to one of the fastest AI supercomputers in the world and enjoying a supportive work environment.