ML Software Tool Development Engineer
Core
Design and implement system-level debugging, validation, and observability platforms for Cerebras' large AI chip architecture.
Role type
Senior IC ML Software Tool Development Engineer
Builds
Automated systems for collecting and analyzing numerical and execution anomalies, visualization tools, and frameworks for failure classification and regression detection.
Domain
AI hardware infrastructure / System-level debugging / Compiler internals
Deliverable
production ML models | infrastructure
Required skills
C++, Python, system-level debugging, execution graph analysis, visualization tool design, compiler internals, low-level protocol design
Preferred skills
machine learning training and inference pipelines, distributed training, large-model scaling, high-performance clusters, HPC systems, custom hardware/software co-design
Technologies
C++, Python
Responsibilities
Lead 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.
Seniority
Senior, hands-on IC