Distributed Systems Engineer: AI Cluster Orchestration

Cerebras; Raleigh (NC); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Non-corporate work culture

Job stability with startup vitality

Opportunities for continuous learning

Job summary

Cerebras is seeking a software engineer to develop key systems for its large-scale AI supercomputers. The role involves automating configurations, developing monitoring systems, and ensuring efficient resource allocation in distributed cluster environments.

The ideal candidate should have a strong track record in software design, proficiency in languages such as Go and Python, and experience with Kubernetes. This is a chance to work at the forefront of AI technology in a vibrant and inclusive work culture.

Qualifications

• Strong track record of software architecture, system design and development.
• Deep understanding of the Kubernetes (K8s) software ecosystem.
• Proficiency in Go, Python, and bash scripting.

Responsibilities

• Automate configuration of networking, OS, and application software.
• Develop orchestration and scheduler system for resource allocation.
• Build robust system for monitoring and handling failures.

Skills

Software architecture

System design

Distributed cluster environments

Kubernetes (K8s)

Prometheus

Grafana

Go

Python

Bash scripting

Job description

Cerebras is seeking a software engineer to develop key systems for its large-scale AI supercomputers. The role involves automating configurations, developing monitoring systems, and ensuring efficient resource allocation in distributed cluster environments.

The ideal candidate should have a strong track record in software design, proficiency in languages such as Go and Python, and experience with Kubernetes. This is a chance to work at the forefront of AI technology in a vibrant and inclusive work culture.