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AI Fleet Platform Software Engineer

Cerebras· Software Engineering
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Hybrid (Sunnyvale, CA), Hybrid (Toronto, CAN)Full-timePosted 3w ago

About the role

Senior software engineer to build platforms and tools that monitor and manage AI fleets across data centers, enabling scalable fleet health monitoring, issue response, and maintaining compute capacity.

Responsibilities

  • 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.
  • Work closely with users of the platform to understand their needs and make practical product and engineering decisions.
  • Lead projects from initial design to production, measure their impact, and use operational feedback to guide improvements.

Qualifications

  • 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.
  • A strong testing practice, especially for software that can change the state of running production clusters.
  • Experience with Linux, containers, and Kubernetes.
  • Experience with durable workflow execution, event streaming, or time-series telemetry at high cardinality.
  • Sound judgment about reliability, security, and observability, including how a system behaves when its dependencies are unavailable.
  • Ability to take an ambiguous problem from design through production and improve the solution using operational feedback.

Skills

Required:GoProtocol BuffersSQLAPIs and data modelingAsynchronous systemsTesting in productionLinux/Containers/KubernetesReliability/Security/ObservabilityAmbiguity to production
Last updated Oct 11, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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