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Cerebras

Engineering Lead – Kernel Reliability

Cerebras

. Provide hands-on technical leadership for kernel-centric reliability of internal and customer-facing systems .

Posted 11/6/2026full-timeSunnyvale • California • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in kernel-centric reliability, failure analysis, and debugging within software and hardware systems. Proven ability to lead engineering teams, enhance debugging tools, and collaborate across functions to improve system reliability and performance.

Highest-signal resume keywords
Kernel Reliability LeadershipParallel And Distributed ProgrammingDebugging And Diagnostic ToolsMonitoring And Reliability EngineeringTeam Mentorship And Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringFailure AnalysisDebuggingDiagnosticsComputer ArchitectureMultithreadingIncident ResponsePost-Mortem AnalysisMessage PassingEmbedded Systems
Soft Skills
Technical LeadershipCross-Functional CollaborationMentoring
Tools & Technologies
DebuggersCore Dump HandlingCode Sanitizers
Industry Keywords
System ReliabilityService Downtime ReductionHigh-Performing TeamsU.S. Export-Control Requirements

About the role

Key responsibilities & impact
  • Provide hands-on technical leadership for kernel-centric reliability of internal and customer-facing systems
  • Own the technical vision and roadmap for kernel reliability
  • Assist System and Cluster Operations teams in reducing system and service downtime after failures
  • Provide tooling and manual intervention for failure analysis and diagnostics
  • Work with the Debug Team to enhance debugging tools and accelerate failure analysis
  • Collaborate with software teams to improve the software stack, including kernels, for on-field debugging and failure analysis
  • Collaborate with ASIC and hardware architecture teams to co-design next-generation architectures with reliability and ease of debugging in mind
  • Lead, mentor and grow a high-caliber engineering team while fostering technical excellence and rapid execution

Requirements

What you’ll need
  • 6+ years in software engineering, with 3+ years leading teams in software/hardware reliability, debugging, diagnostics, failure analysis or related fields
  • Expertise in parallel and distributed programming, including message passing, multicore, GPU and embedded systems
  • Experience developing or using debugging and diagnostic tools, including debuggers, core dump handling and code sanitizers
  • Experience debugging distributed and parallel applications, including deadlocks, livelocks and race conditions
  • Deep understanding of computer architectures, including instruction pipelining, multithreading and networking
  • Strong background in monitoring and reliability engineering, including incident response and post-mortem analysis
  • Demonstrated ability to recruit and retain high-performing teams, mentor engineers and partner cross-functionally
  • Must satisfy applicable U.S. export-control requirements and complete the required citizenship/permanent-residency declaration

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 opportunity workplace
  • Continuous learning, growth and support