Distributed Software Engineer at Cerebras Systems

Cerebras Systems is seeking a Distributed Software Engineer to innovate solutions for AI supercomputers. This role focuses on deploying robust software for large-scale clusters in both cloud and on-premise environments.

As part of the Cluster engineering team, you'll automate configurations, enhance workflows, and monitor systems for optimal performance. Candidates should have a strong foundation in software architecture, development in GoLang and Python, and an understanding of Kubernetes. This role impacts the transformation of AI applications by enhancing the speed and reliability of software in a groundbreaking technology environment.

Key Responsibilities:

• Automate bare-metal configuration of large clusters

• Implement workflows for cluster upgrades and security patches

• Develop orchestration and scheduling systems for resource management

• Provide seamless support for cloud and on-premise operations

• Create robust monitoring systems for resource failures

Requirements:

• Proven experience in software architecture and system design

• Background in distributed cluster development

• Strong proficiency in Kubernetes, Prometheus, and Grafana

• Expertise in GoLang, Python, and bash scripting

• Effective debugging skills in distributed systems

Elevate your career by contributing to next-gen AI solutions at Cerebras Systems.
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