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Kernel Engineer

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference serv

In inglese

Company

Cerebras

Location

United States and Canada

Status

Open

Posted

2026-02-23T15:19:15.02+00:00

Cerebras is hiring a Kernel Engineer to write and tune the low-level software that runs on its custom AI processor. The work covers designing machine-learning and linear-algebra kernels, implementing them in assembly and a custom C-like language, measuring performance with mathematical models, and building unit and system tests. The posting asks for a degree in computer science, computer engineering, mathematics or a related field, skill in C++ and Python, and comfort learning a new hardware architecture. Preferred experience includes parallel algorithms, GPU or FPGA programming, and TensorFlow or PyTorch.