Engineering Manager, Kernel Reliability
Cerebras · United States and Canada
CHECKED 8H AGO
Infrastructureonsitemanager
At a glance
Highlights
- Lead kernel reliability for world's largest AI chip clusters.
- Co-design next-gen architectures for reliability and debuggability.
- Build tooling to cut downtime across training and inference services.
Ideal candidate
Deeply technical hands-on engineering leader passionate about system reliability and failure analysis. Thrives staying close to code while mentoring high-caliber teams and partnering across hardware and software.
Requirements
- 6+ years in software engineering with 3+ years leading SW/HW reliability, debug or failure analysis teams
- Expertise in parallel and distributed programming and debugging distributed parallel applications
- Experience with debug and diagnostic tool development or expert usage
- Deep understanding of computer architectures including pipelining, multithreading and networking
- Strong background in monitoring and reliability engineering including incident response and post-mortems
- Demonstrated ability to recruit, mentor and retain high-performing teams and partner cross-functionally
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed