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; This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.

We're looking for a deeply technical, hands-on engineering leader for our on-field Kernel Reliability team. You will lead a high performing team to tackle a critical challenge: improving the reliability of our advanced compute clusters and the underlying inference, training, and internal production services. In this role, you'll set the technical vision while staying close to the code and designing solutions that will scale to our exponentially growing system production and software service offerings.

If you have proven expertise in software or hardware reliability, diagnostic tool building, or failure analysis and debugging, we want to hear from you. 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 Lead, mentor, and grow a high-caliber team of engineers, fostering a culture of technical excellence and rapid execution. 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, embeded, etc.), deep understanding of computer architectures (instruction pipelining, multithreading, networking, etc.) Operations & Monitoring: Robust 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. People who are serious about software make their own hardware.

At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research.

Work on one of the fastest AI supercomputers in the world. Our simple, non-corporate work culture that respects individual beliefs. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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📌 Engineering Lead, Kernel Reliability (Ottawa)
🏢 Cerebras
📍 Ottawa