Job Title

Cerebras Systems builds the world''''s largest AI chip, 56 times larger than GPUs. Our novel waferscale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industryleading training and inference speeds and empowers machine learning users to effortlessly run largescale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras'''' current customers include top model labs, global enterprises, and cuttingedge AInative startups. OpenAI recently announced a multi-year partnership with Cerebras to deploy 750 megawatts of scale, transforming key workloads with ultra highspeed inference. Thanks to the groundbreaking waferscale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPUbased hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking realtime iteration and increasing intelligence via additional agentic computation. About The Role Were looking for a deeply technical, handson software engineer to join our onfield Kernel Reliability team. Youll help tackle a critical challenge: improving the reliability of our advanced compute clusters and the underlying inference, training, and internal production services. In this role, youll work close to the code and design solutions that will scale with our rapidly growing system production and software service offerings. If you have strong fundamentals in systems, debugging, and failure analysisand enjoy building tools and solving hard reliability problems we want to hear from you. New college graduates are welcome. Responsibilities Contribute to the technical roadmap and execution for kernelcentric reliability of our internal and customerfacing systems. Partner with System and Cluster Operations teams to reduce system and service downtime after failure through tooling, analysis, and handson debugging support. Work with the Debug Team to enhance debug tools with the goal of speeding up failure analysis. Collaborate with software teams to improve the software stackincluding kernelsto improve onfield debugging and failure analysis. Work with ASIC and hardware architecture teams to codesign nextgeneration architectures with reliability and ease of debug in mind. Participate in incident response, rootcause analysis, and postmortems; drive followups that measurably improve reliability over time. Skills & Qualifications We recognize great engineers come from different backgrounds. If youre excited about the role, we encourage you to apply even if you dont meet every qualification. Required (or demonstrated through projects/internships/coursework): Strong programming skills in C/C++ and Python. Solid foundations in operating systems, computer architecture, and systems programming fundamentals. Ability to debug complex issues using logs, traces, and standard debugging workflows; interest in rootcause analysis. Nice to have: 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: familiarity with monitoring, incident response, and postmortem culture. Why Join Cerebras 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. With dozens of model releases and rapid growth, weve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cuttingedge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, noncorporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2026. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. 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