Kernel Engineer at Cerebras Systems

Drive high-performance solutions as a Kernel Engineer with Cerebras Systems. Focus on software development that optimizes deep learning on the world’s largest AI chip while collaborating with top AI innovators.

At Cerebras Systems, you will play a crucial role as a Kernel Engineer, engaged in designing and optimizing software for AI and HPC workloads. This position requires you to harness unique hardware architecture to develop efficient machine learning and linear algebra kernels. Your expertise is vital in enhancing kernel libraries and accelerating AI innovation by ensuring optimal performance of foundational ML algorithms.

Key Responsibilities:

• Develop design specifications for AI kernels and parallel algorithms

• Create and debug optimized low-level assembly routines

• Implement high-performance kernel routines in a custom C-like language

• Analyze software performance using mathematical models

• Integrate unit and system testing for kernel libraries

Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science or related field

• Proficiency in C++ and Python programming

• Knowledge of hardware architecture concepts

• Strong debugging capabilities in complex software

• Previous experience in kernel development

Contribute to transforming AI workloads using innovative kernel engineering at Cerebras Systems.
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