Software Engineer, Kernel Reliability
Cerebras · Sunnyvale, CA
About this role
## Software Engineer, Kernel Reliability ### About Cerebras Cerebras Systems builds the world’s largest AI chip—**56x larger than GPUs**—enabling **industry-leading training and inference speeds** (over **10x faster** than GPU-based hyperscale cloud inference). Cerebras works with leading model labs, global enterprises, and AI-native startups. Cerebras also announced a multi-year partnership with OpenAI to deploy **750MW of scale** for ultra high-speed inference. ### About the Role Join our **on-field Kernel Reliability** team as a deeply technical, hands-on software engineer. You’ll help improve the **reliability of advanced compute clusters** and the underlying **inference, training, and internal production services**. You’ll work close to the code and design solutions that scale with our growing system production and software offerings. If you enjoy **systems debugging**, **failure analysis**, and building tools to solve hard reliability problems, we’d love to hear from you. **New college graduates are welcome.** ### Responsibilities - Contribute to the technical roadmap and execution for **kernel-centric reliability** across internal and customer-facing systems. - Partner with **System and Cluster Operations** to reduce downtime after failures via tooling, analysis, and hands-on debugging support. - Work with the **Debug Team** to enhance debug tools and speed up failure analysis. - Collaborate with software teams to improve the software stack (including **kernels**) for better on-field debugging and failure analysis. - Work with **ASIC and hardware architecture** teams to co-design next-generation architectures with reliability and ease of debug in mind. - Participate in **incident response**, **root-cause analysis**, and **post-mortems**; drive follow-ups that measurably improve reliability over time. ### Skills & Qualifications - Strong programming skills in **C/C++** and **Python**. - Solid foundations in **operating systems**, **computer architecture**, and **systems programming**. - Ability to debug complex issues using **logs, traces**, and standard debugging workflows; interest in **root-cause analysis**. ### Preferred Qualifications - Exposure to **parallel and distributed programming** (message passing, multicore, GPU, embedded, etc.). - Experience building or using **debug/diagnostic tools** (debuggers, core dump handling, tracing, sanitizers, profilers, etc.). - Familiarity with debugging **distributed and parallel applications** (deadlocks, livelocks, race conditions, etc.). - Knowledge of computer architecture concepts (instruction pipelining, multithreading, networking, memory systems, etc.). - Operations & Monitoring experience (monitoring, incident response, post-mortem culture). ### Why Join Cerebras - Build a breakthrough AI platform beyond GPU constraints. - Publish and open source cutting-edge AI research. - Work on one of the fastest AI supercomputers in the world. - Enjoy job stability with startup vitality. - A simple, non-corporate work culture that respects individual beliefs. **Apply today** and help drive groundbreaking advancements in AI!
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