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 top model labs, global enterprises, and cutting-edge AI‑native startups. Open AI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra‑high‑speed inference.Thanks to the groundbreaking wafer‑scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU‑based hyperscale cloud inference services. 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.About the RoleWe are seeking a highly skilled and experienced Sr. Deployment Engineer to build and operate our cutting‑edge inference clusters. These clusters would provide the candidate 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 reliable, efficient, and scalable deployment of AI inference workloads across our global infrastructure. On the operational side, you’ll own the rollout of the new software versions and AI replica updates, along the capacity reallocations across our custom‑built, high‑capacity datacenters. Beyond operations, you’ll drive improvements to our telemetry, observability,



and the fully automated pipeline. This role involves working with advanced allocation strategies to maximize utilization of large-scale computer fleets.The ideal candidate combines hands‑on operation rigor with strong systems engineering skills and thrives on building resilient pipelines that keep pace with cutting‑edge AI models.This role does not require 24/7 hour on‑call rotations.ResponsibilitiesDeploy AI inference replicas and cluster software across multiple datacentersOperate across heterogeneous datacenter environments undergoing rapid 10x growthMaximize capacity allocation and optimize replica placement using constraint‑solver algorithmsOperate bare‑metal inference infrastructure while supporting transition to K8 S‑based platformDevelop and extend telemetry, observability and alerting solutions to ensure deployment reliability at scaleDevelop and extend a fully automated deployment pipeline to support fast software updates and capacity reallocation at scaleTranslate technical and customer needs into actionable requirements for the Dev Infra, Cluster, Platform and Core teamsStay up to date with the latest advancements in AI compute infrastructure and related technologiesSkills and Requirements5-7 years of experience in operating on‑prem compute infrastructure (ideally in Machine Learning or High‑Performance Compute)



or developing and managing complex AWS plane infrastructure for hybrid deploymentsStrong proficiency in Python for automation, orchestration, and deployment toolingSolid understanding of Linux‑based systems and command‑line toolsExtensive knowledge of Docker containers and container orchestration platforms like K8 SFamiliarity with spine‑leaf (Clos) networking architectureProficiency with telemetry and observability stacks such as Prometheus, Influx DB and GrafanaStrong ownership mindset and accountability for complex deploymentsAbility to work effectively in a quick‑paced environmentLocationSF Bay AreaTorontoRemoteThis offer is contingent upon Cerebras successfully obtaining an export license from the U. S. Department of Commerce’s Bureau of Industry and Security authorizing the release to you of certain software source code and/or technology that is subject to the Export Administration Regulations. However, we can make no assurances with respect to the final disposition of an export license application.Why Join CerebrasBuild a breakthrough AI platform beyond the constraints of the GPU.Publish and open source 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.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.This website or its third‑party tools process personal data. For more details, click here to review our CCPA disclosure notice.#J-18808-Ljbffr

📌 Staff Site Reliability Engineer – Automation And Platform (Toronto)
🏢 Cerebras
📍 Toronto