Embedded Security Engineer
Cerebras SystemsSunnyvale, CA$175k – $275kPosted 1 March 2026
Job Description
<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 Embedded Software team building the foundational software stack for the </span><span data-ccp-parastyle="Normal (Web)">Cerebras</span><span data-ccp-parastyle="Normal (Web)"> Wafer-Scale Engine (WSE), this role sits at the heart of one of the most advanced computing systems in the world. The WSE powers breakthrough AI compute, and the embedded software </span><span data-ccp-parastyle="Normal (Web)">you’ll</span><span data-ccp-parastyle="Normal (Web)"> help secure touches everything from </span><span data-ccp-parastyle="Normal (Web)">low</span><span data-ccp-parastyle="Normal (Web)">-</span><span data-ccp-parastyle="Normal (Web)">level</span><span data-ccp-parastyle="Normal (Web)"> microcontrollers and </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)"> monitoring logic to system administration services and </span><span data-ccp-parastyle="Normal (Web)">CPU</span><span data-ccp-parastyle="Normal (Web)">-</span><span data-ccp-parastyle="Normal (Web)">level</span><span data-ccp-parastyle="Normal (Web)"> Linux/BSP components. As we scale our systems to new levels of performance and deployment, strengthening our security posture is a critical part of ensuring reliability, safety, and trust in </span><span data-ccp-parastyle="Normal (Web)">Cerebras</span><span data-ccp-parastyle="Normal (Web)"> </span><span data-ccp-parastyle="Normal (Web)">technology.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":2,"335559739":160,"335559740":300}"> </span></p>
<p><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)">In this role, you will define, design, and own the embedded security domain end</span><span data-ccp-parastyle="Normal (Web)">-</span><span data-ccp-parastyle="Normal (Web)">to</span><span data-ccp-parastyle="Normal (Web)">-</span><span data-ccp-parastyle="Normal (Web)">end. You will architect mechanisms such as secure boot and </span><span data-ccp-parastyle="Normal (Web)">R</span><sp ... (truncated, view full listing at source)
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