ML Software Tool Development Engineer

Cerebras

. Lead the design and implementation of system-level debugging, validation, and observability platforms .

Posted 11/6/2026full-timeSunnyvale • California • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in system-level debugging, validation, and observability, with strong proficiency in C++ and Python for building high-performance systems. Capable of leading complex technical projects and collaborating cross-functionally to establish best practices for reliability and operational excellence.

Highest-signal resume keywords

C++ ProficiencyPython ProficiencySystem-Level DebuggingVisualization Tool DevelopmentCompiler Internals Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

System-Level DebuggingAutomated Systems DevelopmentFailure Classification FrameworksRoot-Cause InvestigationExecution Anomaly AnalysisData Structure AnalysisLow-Level Protocol DesignMachine Learning PipelinesHigh-Performance ComputingCustom Hardware Interfaces

Soft Skills

Strong Communication SkillsIndependent Project Leadership

Tools & Technologies

Visualization ToolsDebugging PlatformsAnalysis ToolsProfiling ToolsInstrumentation Interfaces

Certifications & Qualifications

Export Compliance Assessment

Industry Keywords

High-Performance ClustersHPC SystemsTechnical Data AnalysisOperational ExcellenceCross-Functional Collaboration

Tech Stack

Tools & technologies

PythonC++

About the role

Key responsibilities & impact

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 for 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

Requirements

What you’ll need

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, with the ability to explain technical concepts to diverse stakeholders
Ability to work independently and lead complex technical projects end-to-end
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
Must complete export compliance assessment requirements concerning U.S. person status or applicable U.S. government licensing

Benefits

Comp & perks

Publish and open source cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Job stability with startup vitality
Simple, non-corporate work culture that respects individual beliefs
Continuous learning, growth and support
Equal employment opportunity and inclusive work environment