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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.
In this role, you will be responsible for deploying and managing clusters in highly distributed and complex environments, ranging from a few nodes to thousands. You will work on a critical cluster deployment tool that manages deployments, with an emphasis on scalability, reliability, and incremental build-outs in production environments. This will include planning, building, troubleshooting, and maintaining clusters in live data centers where portions of the infrastructure may already be in production use.
Key areas of responsibility will include running and troubleshooting cluster deployments, and addressing networking challenges that may arise during the deployment process.
Responsibilities- Plan and execute cluster deployments, from small-scale to massive distributed systems.
- Manage hands-on aspects of the deployments, coordinating with data center staff for hardware configurations and necessary maintenance.
- Troubleshoot issues related to networking (e.g., BGP, cluster creation hurdles, or cabling errors) and hardware (e.g., hardware DOA).
- Monitor and maintain systems to ensure uptime, performance, and reliability.
- Collaborate with cross-functional teams including hardware vendors, data center operations, and network engineers to manage the entire lifecycle of deployment.
- Ensure comprehensive documentation is created and maintained for deployments, configurations, and operational processes.
- Develop tools, scripts, or playbooks to automate routine tasks and deployment processes.
- Proficiency in scripting and practical coding, particularly in Shell and Python (Go is a plus).
- Strong experience troubleshooting, analyzing, and administering large-scale, distributed systems.
- 5+ years of experience in data center operations and Linux system administration.
- Knowledge and hands-on experience with network configuration and operations.
- Expertise in hardware operations including networking components (e.g., cabling, switches, routers).
- Experience with Kubernetes and the Prometheus monitoring stack.
- Experience with CI/CD tools (e.g., Git, Jenkins, etc.).
- Familiarity with BGP and other networking protocols, including troubleshooting at Layer 1,2,3.
- Experience with automation tools for deployments, monitoring, and operational efficiency (such as creating playbooks or automated scripts).
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.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
Read our blog: Five Reasons to Join Cerebras in 2025.
Apply today and become part of the forefront of groundbreaking advancements in AI!Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. 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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Cerebras Systems Toronto, Ontario, CAN Office
150 King St W, Toronto, Ontario, Canada, M5H 1J9
