Engineering Lead, Kernel Reliability

The role

You will lead a high performing engineering team to improve the reliability of advanced compute clusters and underlying inference, training, and internal production services. You will set the technical vision and design scalable solutions for system production and software service offerings.

What you will do

• Provide hands-on technical leadership and own the technical vision and roadmap for kernel-centric reliability.
• Assist System and Cluster Operations teams on reducing system and service downtime.
• Provide tooling and manual intervention for failure analysis and diagnostic.
• Work with the Debug Team to enhance debug tools to speed up failure analysis.
• Collaborate with SW teams to improve the software stack, including Kernels.
• Work with the ASIC and HW architecture teams to codesign next generation architectures.
• Lead, mentor, and grow a high-caliber team of engineers.

Required qualifications

• 6+ years in software engineering
• 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.)
• Expertise in 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
• Demonstrated ability to mentor engineers
• Demonstrated ability to partner cross-functionally to deliver customer-facing products

Benefits

• 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

About the company

Cerebras Systems builds the world's largest AI chip. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.