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 global corporations across multiple industries, national labs, and toptier healthcare systems. In January, we announced a multiyear, multimilliondollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPUbased hyperscale cloud inference services. The Role We''''re looking for a deeply technical, handson engineering leader for our onfield 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. Responsibilities Provide handson technical leadership, owning the technical vision and roadmap for the kernelcentric reliability of our internal and customerfacing 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 onfield debugging and failure analysis Work with the ASIC and HW architecture teams to codesign the next generation architectures with reliability and ease of debug in mind Lead, mentor, and grow a highcaliber team of engineers, fostering a culture of technical excellence and rapid execution. Skills & Qualifications 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.), 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.) Operations & Monitoring: Strong background in monitoring and reliability engineering (incident response, postmortem analysis, etc.) Leadership & Collaboration: Demonstrated ability to recruit and retain highperforming teams, mentor engineers, and partner crossfunctionally to deliver customerfacing products. 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 2025. 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. 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 us. This website or its thirdparty tools process personal data. For more details, click here to review our CCPA disclosure notice. #J-18808-Ljbffr