<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 class="x_p1"><span data-olk-copy-source="MessageBody">This Sr. TPM role owns site and data center operations programs supporting Cerebras’ AI Cloud and customer deployments. The position sits at Sunnyvale HQ and works closely with Hardware Engineering, Inference Engineering, and Operations leadership to ensure Cerebras systems are reliably deployed, operated, and scaled.</span></p> <p class="x_p1">This is a highly technical, execution-focused TPM role with strong emphasis on operational readiness, cross-functional coordination, and metrics/KPIs.</p> <h4 class="x_p1">Responsibilities </h4> <ul> <li class="x_p1" data-olk-copy-source="MessageBody">Own end-to-end technical programs for data center and site operations</li> <li class="x_p1">Act as single-threaded owner across: <ul> <li class="x_p1">Hardware & Systems Engineering</li> <li class="x_p1">AI Cloud Infrastructure & Operations</li> <li class="x_p1">Network & Storage Engineering</li> <li class="x_p1">Facilities, power, cooling, and colo partners</li> </ul> </li> <li class="x_p1">Drive site readiness for Cerebras Wafer-Scale Engine systems</li> <li class="x_p1">Partner on installation, commissioning, change management, and break/fix workflows</li> <li class="x_p1">Lead incident reviews and postmortems; ensure corrective actions are closed</li> <li class="x_p1">Define and own operational metrics and KPIs, including: <ul> <li class="x_p1">Availability and reliability</li> <li class="x_p1">Incident rate, severity, MTTR / MTTD</li> <li class="x_p1">Deployment readiness and time-to-service</li> <li class="x_p1">Capacity and operational risk</li> </ul> </li> <li class="x_p1">Build executive-level dashboards and reporting</li> <li class="x_p1">Establish program governance, risk tracking, and RACI clarity</li> <li class="x_p1">Present program status, metrics, and operational risks to senior leadership</li> </ul> <h4 class="x_p1"><strong>Required Background </strong></h4> <ul> <li class="x_p1" data-olk-copy-source="MessageBody">8+ years in Technical Program Management, Infrastructure Ops, or Data Center Ops</li> <li class="x_p1">Experience leading large, cross-functional infrastructure programs</li> <li class="x_p1">Strong understanding of: <ul> <li class="x_p1">Data center power and cooling fundamentals</li> <li class="x_p1">Network and storage basics</li> <li class="x_p1">Hardware-centric platforms</li> </ul> </li> <li class="x_p1">Proven ability to define and operationalize metrics</li> <li class="x_p1">Strong written and executive-level communication skills</li> </ul> <h4>Preferred Experience </h4> <ul> <li class="x_p1" data-olk-copy-source="MessageBody">AI/ML, HPC, or accelerator-based infrastructure</li> <li class="x_p1">High-density and/or liquid-cooled data centers</li> <li class="x_p1">Working with colocation providers and facilities teams</li> <li class="x_p1">Incident management, reliability, or service operations background</li> </ul><div class="content-conclusion"><h4><strong>Why Join Cerebras</strong></h4> <p>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, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:</p> <ol> <li>Build a breakthrough AI platform beyond the constraints of the GPU.</li> <li>Publish and open source their cutting-edge AI research.</li> <li>Work on one of the fastest AI supercomputers in the world.</li> <li>Enjoy job stability with startup vitality.</li> <li>Our simple, non-corporate work culture that respects individual beliefs.</li> </ol> <p>Read our blog: <a href="https://www.cerebras.net/blog/5-reasons-to-join-cerebras" target="_blank" data-auth="NotApplicable" data-linkindex="0">Five Reasons to Join Cerebras in 2026.</a></p> <h4>Apply today and become part of the forefront of groundbreaking advancements in AI!</h4> <hr> <p><em>Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. </em><em>We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. </em><em>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 them.</em></p> <hr> <p><em>This website or its third-party tools process personal data. For more details, click <a href="https://www.cerebras.net/privacy/" target="_blank">here</a> to review our CCPA disclosure notice.</em></p></div>