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ML Software Tool Development Engineer

Cerebras · United States and Canada

CHECKED 6H AGO

Infrastructureonsite
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At a glance

Highlights

  • Lead system-level debugging and observability platforms for giant AI chips.
  • Build visualization tools for root-cause analysis of execution anomalies.
  • Work on one of the fastest AI supercomputers powering ultra-fast inference.

Ideal candidate

Independent technical leader who loves untangling complex hardware-software systems and building intuitive tools that make the invisible visible. You care deeply about reliability, debuggability, and operational excellence.

Requirements

  • Strong proficiency in C++ and Python building reliable, high-performance systems and tooling
  • Demonstrated experience debugging complex hardware/software systems to root cause
  • Experience analyzing system-level data structures, execution graphs or dependency networks
  • Proven ability to design intuitive visualization and analysis tools for complex data
  • Experience with compiler internals, custom hardware interfaces or low-level protocol design
  • Strong written and verbal communication skills with diverse stakeholders
  • Ability to work independently and lead complex technical projects end-to-end

Lab profile

About Cerebras

Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.

What they build

  • Wafer-scale AI chips
  • AI training systems
  • Cloud inference service

Known for

  • 56x larger chips than GPUs
  • 10x faster inference than GPU clouds
  • Industry-leading training speed
More about Cerebras →
Apply on the lab’s site ↗