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.

We are seeking a highly skilled and experienced AI Cluster Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the candidate with an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power. You will play a critical role in ensuring the health, performance, and availability of our infrastructure, maximizing compute capacity, and supporting our growing AI initiatives.

This role requires a deep understanding of Linux-based systems, containerization technologies, and experience with monitoring and troubleshooting complex distributed systems. The ideal candidate is a proactive problem-solver with expertise in large-scale compute infrastructure, dependable and an advocate for customer success. Build and own software solutions that power cluster operations, including monitoring platforms, workflow automation systems, operational dashboards, and reliability tooling.

Develop APIs, automation services, and integrations that improve operational visibility, incident response, and fleet management across global AI infrastructure.



Manage and operate multiple advanced AI compute infrastructure clusters. Provide 24/7 monitoring and support, leveraging automated tools and performing hands‑on troubleshooting as needed.

Handle engineering escalations and collaborate with other teams to resolve complex technical challenges. Stay up-to-date with the latest advancements in AI compute infrastructure and related technologies. 6-8 years of relevant experience in managing and operating complex compute infrastructure, preferably in the context of machine learning or high-performance computing. ~ Proficient in Python and Go, with experience building operational platforms, workflow automation systems, and reliability tooling for large-scale infrastructure environments. ~ Deep understanding of Linux-based compute systems and command-line tools. ~ Proven ability to troubleshoot and resolve complex technical issues in a timely and efficient manner. ~ Experience with monitoring and alerting systems. ~ Willingness to participate in a 24/7 on‑call rotation. Operating and Managing large scale AI clusters.

AWS, GCP, Azure). 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. 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 setting that empowers people to do their best work through continuous learning, growth and support of those around them. #

📌 Cluster Operations Software Engineer (Toronto)
🏢 Cerebras
📍 Toronto