Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.

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.

You will own substantial engineering work across backend services, operational tools, and user-facing applications. You will partner with Cluster Operations, infrastructure, inference, security, and data center teams to turn real operational challenges into software that works reliably at scale. 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. Design systems that remain reliable as the fleet grows and continue to function through component and site failures.



Lead projects from initial design to production, measure their impact, and use operational feedback to guide improvements. 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. ~ Ability to lead ambiguous projects and work effectively across engineering and operations teams.

Building software for incident response, hardware health, or capacity management. Working with AI clusters and their compute, networking, and hardware systems. People who are responsible about software make their own hardware.

At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. Build a breakthrough AI platform beyond the constraints of the GPU. # Publish and open source their cutting-edge AI research. # Work on one of the fastest AI supercomputers in the world. # Our simple, non-corporate work culture that respects individual beliefs. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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📌 AI Fleet Platform Software Engineer (Toronto)
🏢 Cerebras Systems
📍 Toronto