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Collaborate on software solutions for AI systems, focusing on performance and usability within an integrated architecture. Gain hands-on experience with advanced hardware and ML frameworks.

The Senior Technical Program Manager is responsible for site and data center operations, leading cross-functional programs, ensuring operational readiness, and managing metrics and KPIs for AI infrastructure.

The Kernel Optimization Engineer will develop high-performance software solutions by optimizing deep learning operations and designing new machine learning kernels for the Cerebras hardware system.

The Manufacturing Bring-up Engineer oversees system testing and validation, collaborating with cross-functional teams to automate workflows and enhance manufacturing efficiencies.

Support system-level bring-up processes in manufacturing, collaborate on automation and validate system performance, resolve technical issues and track metrics for continuous improvement.

Responsible for software integration and quality for Cerebras AI platform, focusing on automation, debugging, and cross-team collaboration. Develops QA strategies and testing methodologies to ensure product quality.

Design and develop high-performance distributed software for scalable AI training systems, focusing on data pipelines and system efficiency.

Develop and automate configuration for distributed clusters, create monitoring tools, manage cloud operations, and ensure system reliability for Cerebras AI supercomputers.

Lead a team to improve the reliability of advanced compute clusters and manage failure analysis and debugging processes.

As a new engineer at Cerebras, you'll learn their platforms, focusing on programming the Wafer Scale Engine, kernel development, and system performance modeling.