Teams at Cerebras Systems Inc.

Design and optimize hyperscale data pipelines and ETL for multi-terabyte hardware telemetry. Build ML-driven failure prediction and anomaly detection, create dashboards and real-time telemetry visualizations, lead hardware characterization and A/B studies, perform root cause analysis, and collaborate with cross-functional teams to improve hardware performance, reliability, and energy efficiency for AI platforms.

Perform post-silicon validation and debug of wafer-scale engines; characterize high-speed serial interfaces; support wafer bring-up, burn-in, and manufacturing operations; develop hardware, automated regression tests, and Python/Bash debug tools; collaborate with hardware and system software teams and document issues and flows.

Lead product strategy and execution for strategic AI customers: embed with lighthouse accounts, design PoCs showcasing ultra-low-latency inference, advise on model selection and long-term AI strategy, drive adoption and expansion, and translate customer insights into roadmap priorities across product, engineering, and GTM teams.