Cerebras

6 months ago

Engineering Manager, Kernel Reliability

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead a hands-on engineering team focused on kernel-centric reliability for advanced compute clusters and the services that support inference, training, and production workloads. Own the technical vision and roadmap, partner with systems, cluster operations, and debug teams to accelerate failure analysis, and collaborate across SW, ASIC, and hardware architecture to improve reliability and ease of debugging as the system scales.

Location: United States, Canada

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Provide hands-on technical leadership, owning the technical vision and roadmap for kernel-centric reliability across internal and customer-facing systems
•Partner with system and cluster operations to reduce downtime after failures using tooling and manual intervention for failure analysis and diagnostics
•Collaborate with the debug team to enhance debug tools and speed up failure analysis
•Work with SW teams to improve the software stack (including kernels) to strengthen on-field debugging and failure analysis
•Lead, mentor, and grow the engineering team while coordinating with ASIC and hardware architecture teams to co-design next-generation architectures for reliability and easier debugging

Key Requirements

•6+ years in software engineering, with 3+ years leading teams in SW/HW reliability, debug, diagnostic, failure analysis, or related fields
•Expertise in parallel and distributed programming (e.g., message passing, multicore, GPU) and debugging distributed/parallel applications (deadlocks, livelocks, race conditions)
•Experience building or using debug and diagnostic tooling (debuggers, core dump handling, code sanitizers)
•Deep understanding of computer architectures (instruction pipelining, multithreading, networking)
•Background in incident response and post-mortem analysis within monitoring and reliability engineering

Experience:6+ yearsAIDistributed systemsReliability engineeringFailure analysisDebugging

Skills:Technical leadershipMentoringCross-functional collaborationExecutionTeam building

Tech Stack:GPUParallel programmingDistributed programmingMessage passingMulticoreDebuggersCore dump handlingCode sanitizersIncident responsePost-mortem analysis

Company Brief

Cerebras

Designs and builds wafer-scale AI accelerators and systems for large-scale deep learning workloads, delivering specialized hardware and software to accelerate model training and inference for enterprises and research institutions.

Industry: Hardware Devices

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn

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Cerebras

6 months ago

Engineering Manager, Kernel Reliability

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States, Canada

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Provide hands-on technical leadership, owning the technical vision and roadmap for kernel-centric reliability across internal and customer-facing systems
•Partner with system and cluster operations to reduce downtime after failures using tooling and manual intervention for failure analysis and diagnostics
•Collaborate with the debug team to enhance debug tools and speed up failure analysis
•Work with SW teams to improve the software stack (including kernels) to strengthen on-field debugging and failure analysis
•Lead, mentor, and grow the engineering team while coordinating with ASIC and hardware architecture teams to co-design next-generation architectures for reliability and easier debugging

Key Requirements

•6+ years in software engineering, with 3+ years leading teams in SW/HW reliability, debug, diagnostic, failure analysis, or related fields
•Expertise in parallel and distributed programming (e.g., message passing, multicore, GPU) and debugging distributed/parallel applications (deadlocks, livelocks, race conditions)
•Experience building or using debug and diagnostic tooling (debuggers, core dump handling, code sanitizers)
•Deep understanding of computer architectures (instruction pipelining, multithreading, networking)
•Background in incident response and post-mortem analysis within monitoring and reliability engineering

Experience:6+ yearsAIDistributed systemsReliability engineeringFailure analysisDebugging

Skills:Technical leadershipMentoringCross-functional collaborationExecutionTeam building

Tech Stack:GPUParallel programmingDistributed programmingMessage passingMulticoreDebuggersCore dump handlingCode sanitizersIncident responsePost-mortem analysis

Company Brief

Cerebras

Industry: Hardware Devices

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn