ML Software Tool Development Engineer
Cerebras · Sunnyvale, CA
About this role
## ML Software Tool Development Engineer ### About the Role Cerebras Systems builds large-scale AI hardware designed to deliver industry-leading training and inference speeds—enabling real-time iteration and more agentic computation. You’ll help build the system-level tooling and platforms that make debugging, validation, and observability practical at scale. ### 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 design and build intuitive visualization and analysis tools for complex technical data. - Experience with compiler internals, custom hardware interfaces, or low-level protocol design. - Strong written and verbal communication skills; able to explain technical concepts to diverse stakeholders. - Ability to work independently and lead complex technical projects end-to-end. ### Preferred Skills & Qualifications - Familiarity with machine learning training and inference pipelines, especially distributed training and large-model scaling. - Prior work on high-performance clusters, HPC systems, or custom hardware/software co-design. ### Why Join Cerebras - Build a breakthrough AI platform beyond the constraints of the GPU. - Publish and open source cutting-edge AI research. - Work on one of the fastest AI supercomputers in the world. - Enjoy job stability with startup vitality. - A simple, non-corporate work culture that respects individual beliefs. ### Links - OpenAI partnership announcement: https://openai.com/index/cerebras-partnership/ - Join Cerebras: https://www.cerebras.ai/join-us - Privacy/CCPA: https://www.cerebras.net/privacy/ ### Equal Opportunity Cerebras Systems is committed to creating an equal and diverse environment and is an equal opportunity employer.
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