Manager, Kernel Software

<div class="content-intro"><p><span data-contrast="none">Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale 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 industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. </span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335559685":0,"335559737":240,"335559738":240,"335559739":240,"335559740":279}"> </span></p> <p>Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. <a href="https://openai.com/index/cerebras-partnership/">OpenAI recently announced a multi-year partnership with Cerebras</a>, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. </p> <p>Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. 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.</p></div><h4>About The Role</h4> <p>As a Manager, Kernel Software, you will lead a team of engineers at the intersection of hardware and software, developing high-performance solutions for cutting-edge AI and HPC workloads. You will collaborate with leaders from industry and academia to co-design software that fully harnesses the capabilities of our custom, massively parallel processor architecture. </p> <p>In this dual-role position, you will guide the technical roadmap, oversee the design and optimization of deep learning operations, and ensure the delivery of robust, high-performing kernel libraries. You will also manage and mentor a team of talented engineers, supporting their growth and fostering a culture of technical excellence, collaboration, and innovation. Your leadership will directly impact our ability to scale training workloads and deliver breakthroughs in performance and efficiency. </p> <p><strong>Responsibilities </strong></p> <ul> <li>Lead the design and development of high-performance ML and linear algebra kernels for the Cerebras WSE using parallel programming techniques. </li> <li>Guide a team building optimized low-level routines in assembly and a domain-specific C-like language. </li> <li>Use performance modeling to inform design and optimization decisions. </li> <li>Drive test development to ensure correctness and performance of kernel libraries. </li> <li>Evolve kernel architecture to support emerging ML models and workloads. </li> <li>Collaborate with hardware architects to influence future system design. </li> <li>Mentor engineers and foster a high-performing, collaborative team culture. </li> </ul> <p><strong>Skills Qualifications</strong> </p> <ul> <li>Bachelor’s, Master’s, PhD, or foreign equivalent in Computer Science, Computer Engineering, Mathematics, or a related field. </li> <li>Proven experience leading technical teams, including mentoring engineers, setting technical direction, and driving execution. </li> <li>Strong understanding of hardware architecture concepts and willingness to dive into new system architectures. </li> <li>Proficiency in C++ and Python; experience with low-level systems programming. </li> <li>Familiarity with library/API development best practices and performance optimization. </li> <li>Excellent debugging skills across complex, layered software stacks. </li> </ul> <p><strong>Preferred Skills Qualifications</strong> </p> <ul> <li>Experience leading teams in kernel development, performance optimization, or low-level systems programming. </li> <li>Strong backg ... (truncated, view full listing at source)