Cerebras · 1 week ago
Engineering Manager, Kernel Reliability
Sunnyvale CA or Toronto Canada
Full-time
Onsite
Senior Level
6+ years expCerebras Systems builds the world's largest AI chip and is looking for a deeply technical, hands-on engineering leader for their Kernel Reliability team. The role involves leading a team to improve the reliability of advanced compute clusters and internal production services, while setting the technical vision and collaborating with various teams to enhance system performance.
AI InfrastructureArtificial Intelligence (AI)ComputerHardwareRISCSemiconductorSoftware
Responsibilities
Provide hands-on technical leadership, owning the technical vision and roadmap for the kernel-centric reliability of our internal and customer-facing systems
Assist System and Cluster Operations teams on reducing system and service downtime after failure by providing tooling and manual intervention for failure analysis and diagnostic
Work with the Debug Team to enhance debug tools with the goal of speeding up failure analysis
Collaborate with SW teams to improve the software stack, including Kernels, to improve on-field debugging and failure analysis
Work with the ASIC an HW architecture teams to codesign the next generation architectures with reliability and ease of debug in mind
Lead, mentor, and grow a high-caliber team of engineers, fostering a culture of technical excellence and rapid execution
Qualification
Required
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 (message passing, multicore, GPU, embedded, etc.)
Debug and diagnostic tool development or expert usage (debuggers, core dump handling, code sanitizers, etc.)
Experience debugging distributed and parallel applications (deadlocks, livelocks, race conditions, etc.)
Deep understanding of computer architectures (instruction pipelining, multithreading, networking, etc.)
Strong background in monitoring and reliability engineering (incident response, post-mortem analysis, etc.)
Demonstrated ability to recruit and retain high-performing teams, mentor engineers, and partner cross-functionally to deliver customer-facing products
Company
Cerebras
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$2.82BKey Investors
Tiger Global ManagementAtreides Management,FidelityAlpha Wave Ventures
2026-02-04Series H· $1B
2025-12-03Secondary Market
2025-09-30Series G· $1.1B
Leadership Team
Andrew Feldman
Founder and CEO
Bob Komin
Chief Financial Officer
Recent News
Investing.com
2026-02-07
Company data provided by crunchbase