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

The Contracts & Compliance Manager will negotiate contracts, manage compliance programs, and improve legal operations at Cerebras Systems, supporting AI technologies.

The role involves developing and optimizing AI frameworks and models on Cerebras systems, requiring deep AI toolchain knowledge and extensive debugging skills.

The Deployment Engineer will build and operate AI inference clusters, ensure scalable deployments, optimize allocation, and maintain infrastructure. Responsibilities include software updates, telemetry development, and collaborative improvements with teams.

Join the Cerebras Inference Team to develop software and optimize AI model compilation for advanced inference characteristics on proprietary hardware.

Design and implement low-level components in a compiler toolchain, focusing on LLVM for optimizing code generation for a large AI chip architecture.

The Manager of AI Infrastructure Operations leads the reliability and performance of AI compute infrastructure, manages escalations, and drives reliability initiatives.

Lead a team in developing and scaling distributed inference systems for AI on Cerebras' hardware, ensuring reliability and performance while mentoring engineers.

Drive reliability excellence across system designs, embed reliability requirements, execute life tests, apply physics-of-failure models, simulate electronics reliability, and champion a reliability culture.

The Chief of Staff at Cerebras Systems will enhance operational efficiency, manage high-level projects, and serve as a communication liaison between the CEO and stakeholders, requiring strong leadership, analytical skills, and relevant industry experience.