Workplace
On-site
Employment
Full-Time
Published
Feb 17, 2026
Closes
No date supplied
The role
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 https://openai.com/index/cerebras-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. - 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. Skills & Qualifications - Strong proficiency in C++ and Python, with a track record of building reliable, high-performance systems and tooling. - Demonstrated experience debugging complex hardware/software systems and driving issues to root cause. - Experience analyzing system-level data structures, execution graphs, or dependency networks for diagnostics and validation. - Proven ability to
Requirements
Department: Software; Team: Software