Sur place · Canada
Secure and scale enterprise IT, cloud, and network infrastructure to support advanced AI workloads. Develop automation tooling and processes to improve security, reliability, and operational efficiency across the organization.
Sur place · 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.
Hybride · 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.
Hybride · Toronto
Design and implement end-to-end telemetry systems and benchmarking infrastructure to optimize AI inference performance. Analyze system bottlenecks and partner with platform teams to validate high-performance inference features.
Sur place · Canada
Design and build responsive, user-friendly frontend interfaces for customer-facing inference, training, and admin consoles. Develop API experiences that efficiently handle high traffic and throughput for developers.
Sur place · Canada
The role focuses on implementing and scaling machine learning techniques for LLM pretraining, fine-tuning, and reinforcement learning. Responsibilities include building evaluation pipelines, debugging the ML stack, and optimizing training and inference workflows.
Sur place · Canada
Develop and optimize high-performance machine learning and linear algebra kernels for the Cerebras WSE System. Collaborate with architects to improve instruction sets and microarchitecture for next-generation AI hardware.
Sur place · Canada
Drive the end-to-end delivery of server and network platform programs for AI clusters, from requirements and vendor selection to production rollout. Manage multi-team programs involving OEM/ODM partners, internal architects, and deployment teams to ensure operational readiness.
Sur place · Canada
Own the server-side platform architecture for CS3-based AI clusters to ensure predictable performance, scalability, and reliability. Translate workload behaviors into hardware requirements and lead technical engagements with OEM/ODM vendors.
Sur place · Canada
Lead the design and implementation of system-level debugging, validation, and observability platforms for AI hardware. Develop automated systems for anomaly detection and create visualization tools for root-cause investigation.
Sur place · Canada
The role focuses on the deployment, bring-up, and first-line troubleshooting of AI infrastructure and networking hardware in data centers. Responsibilities include monitoring hardware telemetry, executing validation tests, and escalating incidents using established workflows.