AI Fleet Platform Software Engineer

Job summary

Responsibilities

Cerebras operates AI clusters across a growing number of data centers. As the fleet expands, the software used to monitor and manage it must scale with it. We are seeking a senior software engineer to build the platforms and tools that help our teams understand fleet health, respond to issues, and…

• Build and operate software for managing large fleets of AI clusters
• Give operators clear, actionable views of cluster health, capacity, performance, and ongoing issues.
• Develop services and integrations that bring together data and workflows from multiple infrastructure systems.
• Automate repetitive work and improve the tools teams use to investigate incidents and restore service.
• Design systems that remain reliable as the fleet grows and continue to function through component and site failures.

What they're looking for

• 12+ years of industry experience building and operating production distributed systems or large-scale infrastructure software.
• Strong Go skills. You will work with Go, Protocol Buffers, and SQL regularly. Python experience is an added benefit.
• Experience building control planes, fleet management systems, or operational platforms.
• Experience designing APIs and data models that serve multiple consumers, with a considered approach to versioning and compatibility.
• Experience building asynchronous systems that support idempotency, concurrency, and reconciliation while preventing unintended state drift.

Tech stack

• Go
• SQL
• Python
• Kubernetes
• AWS