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ML Software Tool Development Engineer

cerebras · United States and Canada

Nouveau
🇬🇧 English
C++ Python Compiler internals Custom hardware interfaces Low-level protocol design Profiling and instrumentation System-level debugging

Description du poste

About the role

Cerebras Systems, creator of the world’s largest AI chip, is seeking an ML Software Tool Development Engineer to lead the design and implementation of system-level debugging, validation, and observability platforms that enable ultra-high-speed AI workloads.

Key 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 and support incident response.

Required profile

  • Strong proficiency in C++ and Python with a track record of building reliable, high-performance systems.
  • 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.
  • 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.
  • Excellent written and verbal communication skills for diverse stakeholders.
  • Ability to work independently and lead complex technical projects end-to-end.

Required skills

  • C++
  • Python
  • Compiler internals
  • Custom hardware interfaces
  • Low-level protocol design
  • Profiling and instrumentation
  • Visualization and analysis tool development
  • System-level debugging

What we offer

  • Opportunity to build a breakthrough AI platform beyond GPU constraints.
  • Publish and open-source cutting-edge AI research.
  • Work on one of the fastest AI supercomputers in the world.
  • Job stability combined with startup vitality.
  • A simple, non-corporate culture that respects individual beliefs.

Questions fréquentes

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Source : ats:ashby

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cerebras

United States and Canada