Cerebras Systems builds the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up. From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times. Here’s what makes our platform different: 🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale ⚡ Blazing-fast inference – Up to 30x faster than GPUs 🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously 🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide. 👉 Learn more: https://www.cerebras.ai Join us: https://cerebras.net/careers/
On-site
The role focuses on improving the reliability of compute clusters and internal production services through kernel-centric debugging and failure analysis. Responsibilities include collaborating with hardware and software teams to co-design next-generation architectures and participating in incident response.
Hybrid · Toronto
You will be responsible for building and maintaining the software infrastructure that manages large-scale clusters of servers and switches. This includes developing Kubernetes operators, automating bare-metal networking, and ensuring the health and observability of the fleet.
Hybrid · Toronto
You will design, build, and maintain the GPU inference stack, ensuring high performance and reliability for large-scale AI workloads. Additionally, you will establish operational practices for the GPU fleet, including deployment, monitoring, and performance tuning across distributed systems.
On-site · Toronto
Develop and maintain infrastructure to build, test, and operate the Cerebras software stack. Design scalable workflows for automating processes in the cloud and datacenters to monitor software performance on the Wafer Scale Engine.
Hybrid · Toronto
Collaborate with engineers to design, implement, and debug software solutions for next-generation AI infrastructure. Focus on low-level software components, system performance, and reliability across a fully integrated AI-accelerated platform.