Engineering Manager, Kernel ReliabilityActive

The opportunity

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

What you'll do

  • 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.

What they're looking for

  • + 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, embeded, 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.)
  • Operations & Monitoring: Strong background in monitoring and reliability engineering (incident response, post-mortem analysis, etc.)
  • Leadership & Collaboration: Demonstrated ability to recruit and retain high-performing teams, mentor engineers, and partner cross-functionally to deliver customer-facing products.