AI Fleet Platform Software Engineer

Sunnyvale, CA · Remotefull timeRemote

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senior

H1B: yes

Cerebras The AI Fleet Platform Software Engineer at Cerebras builds and operates software to manage large fleets of AI clusters, ensuring fleet health and capacity. The role involves partnering with multiple teams to develop reliable backend services, operational tools, and user-facing applications.

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 keep compute capacity available.
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.
Skills and requirements
12+ years of industry experience building and operating production software for distributed systems or large-scale infrastructure.

Qualification

Expertise in control planesExperience with LinuxExperience with event streamingStrong judgment in reliabilityBuilding software for incident responseTorontoWhy Join Cerebras

Required

12+ years of industry experience building and operating production software for distributed systems or large-scale infrastructure
Strong Go or Python skills and experience designing services and APIs
Expertise in control planes, fleet management systems, or operational platforms
Experience with Linux, containers, Kubernetes, and handling failures across distributed systems
Experience designing systems that handle asynchronous work, retries, and partial failures
Experience with event streaming, workflow automation, or time-series telemetry
Strong judgment in reliability, security, and observability
Ability to lead ambiguous projects and work effectively across engineering and operations teams

Preferred

Building software for incident response, hardware health, or capacity management.
Developing dashboards and applications for infrastructure operators.
Working with AI clusters and their compute, networking, and hardware systems.
Toronto, Canada.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.

Company

Cerebras

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Remote-friendly

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