ML Software Tool Development 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 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.

Cerebras works with the leading 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.

Responsibilities:

• 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.