Wafer Scale Jobs

foundation models and generative AI workloads to run efficiently on Cerebras' Wafer-Scale Engine (WSE).

In this role, you will drive the test strategy for future generations of the Cerebras Wafer Scale Engine in Taiwan.

Responsibilities Help design and implement machine learning and linear algebra kernels for the Cerebras Wafer-Scale Engine.

Scale Engine (WSE).

collaborate closely with electrical and system engineering, manufacturing, supply chain, and system software to drive end-to-end schedule of improvements to our wafer-scale

OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale

Develop tools and infrastructure to help visualize performance data collected from the Wafer Scale Engine and our compute cluster.

disaggregated AI inference systems that combine GPU-accelerated prefill with ultra-fast decode on the Cerebras Wafer-Scale

About The Role The Core ML team develops novel machine learning algorithms that take advantage of the unique capabilities of the Cerebras Wafer-Scale

Scale Engine (WSE).

These clusters would provide the candidate with an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that

Cerebras is building a new generation of disaggregated AI inference systems that combine GPU-accelerated prefill with ultra-fast decode on the Cerebras Wafer-Scale

Build for Cerebras-Scale: Design telemetry pipelines that handle high-cardinality, high-frequency data from thousands of Wafer-Scale

Such AI clusters have 100’s of Wafer-scale accelerator systems, 1000’s of high-end servers, and several 1000’s of networking ports including switches.