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Cerebras

Software Engineer, Kernel Reliability

Cerebras

. Contribute to the technical roadmap and execution for kernel-centric reliability of internal and customer-facing systems .

Posted 11/5/2026full-timeSunnyvale • California • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong programming skills in C/C++ and Python, with a solid foundation in operating systems and computer architecture. Capable of debugging complex issues and contributing to reliability improvements through collaboration with cross-functional teams.

Highest-signal resume keywords
C/C++ ProgrammingPython ProgrammingDebugging Complex IssuesRoot-Cause AnalysisDistributed Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
C/C++ ProgrammingPython ProgrammingOperating SystemsComputer ArchitectureSystems ProgrammingDebugging WorkflowsDiagnostic ToolsParallel ProgrammingFailure AnalysisIncident Response
Soft Skills
CollaborationAnalytical ThinkingProblem-Solving
Tools & Technologies
Debug ToolsMonitoring Tools
Industry Keywords
Kernel-Centric ReliabilitySystem DowntimePost-Mortem CultureFailure AnalysisDebugging Distributed Applications

Tech Stack

Tools & technologies
PythonC++

About the role

Key responsibilities & impact
  • Contribute to the technical roadmap and execution for kernel-centric reliability of internal and customer-facing systems
  • Partner with System and Cluster Operations teams to reduce system and service downtime after failure through tooling, analysis, and hands-on debugging support
  • Work with the Debug Team to enhance debug tools and speed failure analysis
  • Collaborate with software teams to improve the software stack, including kernels, for on-field debugging and failure analysis
  • Work with ASIC and hardware architecture teams to co-design next-generation architectures with reliability and ease of debug in mind
  • Participate in incident response, root-cause analysis, and post-mortems
  • Drive follow-ups that measurably improve reliability over time

Requirements

What you’ll need
  • Strong programming skills in C/C++ and Python
  • Solid foundations in operating systems, computer architecture, and systems programming fundamentals
  • Ability to debug complex issues using logs, traces, and standard debugging workflows
  • Interest in root-cause analysis
  • Exposure to parallel and distributed programming
  • Experience building or using debug/diagnostic tools
  • Familiarity with debugging distributed and parallel applications
  • Knowledge of computer architecture concepts
  • Familiarity with monitoring, incident response, and post-mortem culture
  • New college graduates are welcome

Benefits

Comp & perks
  • 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
  • Job stability with startup vitality
  • Simple, non-corporate work culture that respects individual beliefs
  • Equal and diverse work environment
  • Continuous learning, growth and support