System Software Engineer (Embedded)

<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><p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">The Role</span></span></strong><span data-ccp-props="{"134245418":true,"134245529":true,"201341983":0,"335559738":281,"335559739":281,"335559740":279}"> </span></p> <p><span data-contrast="none"><span data-ccp-parastyle="Normal (Web)">As part of the </span><span data-ccp-parastyle="Normal (Web)">Embedded</span><span data-ccp-parastyle="Normal (Web)"> Software team, you will help build the critical software foundation that powers the </span><span data-ccp-parastyle="Normal (Web)">Cerebras</span><span data-ccp-parastyle="Normal (Web)"> </span><span data-ccp-parastyle="Normal (Web)">Wafer</span><span data-ccp-parastyle="Normal (Web)"> </span><span data-ccp-parastyle="Normal (Web)">Scale</span><span data-ccp-parastyle="Normal (Web)"> Engine (WSE)—the world’s largest AI processor. Our team owns a diverse range of embedded and </span><span data-ccp-parastyle="Normal (Web)">system</span><span data-ccp-parastyle="Normal (Web)"> </span><span data-ccp-parastyle="Normal (Web)">level</span><span data-ccp-parastyle="Normal (Web)"> components that enable the WSE to </span><span data-ccp-parastyle="Normal (Web)">operate</span><span data-ccp-parastyle="Normal (Web)"> reliably at scale, including microcontroller firmware, </span><span data-ccp-parastyle="Normal (Web)">wafer</span><span data-ccp-parastyle="Normal (Web)"> </span><span data-ccp-parastyle="Normal (Web)">level</span><span data-ccp-parastyle="Normal (Web)"> monitoring logic, system administration services, and the Linux platform and BSP layers that keep the entire system running smoothly.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":2,"335559739":160,"335559740":300}"> </span></p> <p><span data-contrast="none"><span data-ccp-parastyle="Normal (Web)">This role exists at the intersection of embedded systems, platform engineering, and distributed system enablement. As our technology and deployments continue to scale, we are expanding the team with versatile engineers </span><span data-ccp-parastyle="Normal (Web)">eager</span><span data-ccp-parastyle="Normal (Web)"> to work across multiple layers of the software stack. You will help build administrative services that connect the WSE’s system software to cluster</span><span data-ccp-parastyle="Normal (Web)">-</span><span data-ccp-parastyle="Normal (Web)">level orchestration, collaborate closely with hardware and ASIC teams, and contribute to the robustness, visibility, and operability of our next</span><span ... (truncated, view full listing at source)