Builds the largest chips ever for generative AI.
Lead corporate security, design security capabilities, and manage risk assessments.
Design, deploy, and operate a network observability platform for real-time visibility.
Build data pipelines, analyze data, develop models, and create visualizations.
Deploy and manage clusters in distributed environments, troubleshoot networking, and automate tasks.
Drive adoption of AI inference API through engineering and go-to-market strategies.
Drive the vision and strategy for Cerebras’ ML training ecosystem.
Develop novel ML algorithms, network architectures, and improve training dynamics.
Automate configuration, upgrades, monitoring, and failure handling for large Cerebras clusters.
Optimize deployment, ensure reliability, scalability, security, and observability of distributed infrastructure.