Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Lead the design and implementation of system-level debugging, validation, and observability platforms.

Develop automated systems for collecting and analyzing numerical, and execution anomalies.

Create visualization and analysis tools to enable efficient root-cause investigation.

Build frameworks for failure classification, regression detection, and anomaly monitoring.

Extend compilers, runtimes, and programming interfaces to support advanced profiling and instrumentation.

Improve system bring-up, low-level debug, and validation workflows.

Partner cross-functionally with compiler, hardware, firmware, runtime, and infrastructure teams.

Establish best practices for debuggability, reliability, and operational excellence.

Lead high-impact initiatives.

Support incident response and drive long-term corrective actions.