Staff Software Engineer, Observability

<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><span class="TextRun SCXW222676574 BCX8" lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW222676574 BCX8">We are seeking a talented Platform Software Engineer to join the team building the </span><span class="NormalTextRun SpellingErrorV2Themed SCXW222676574 BCX8">Cerebras</span><span class="NormalTextRun SCXW222676574 BCX8"> Inference Platform. You will be instrumental in designing, developing, and </span><span class="NormalTextRun SCXW222676574 BCX8">operating</span><span class="NormalTextRun SCXW222676574 BCX8"> the core backend services and APIs that power the Inference platform. </span><span class="NormalTextRun SCXW222676574 BCX8">You'll</span><span class="NormalTextRun SCXW222676574 BCX8"> build the software that allows customers to seamlessly deploy, manage, and serve inference workloads on dedicated </span><span class="NormalTextRun SpellingErrorV2Themed SCXW222676574 BCX8">Cerebras</span><span class="NormalTextRun SCXW222676574 BCX8"> hardware. </span></span><span class="EOP SCXW222676574 BCX8" data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p></p> <div><strong>Responsibilities</strong></div> <ul data-list-tree="true" data-indent="0" data-border="0"> <li><strong>Set Technical Direction:</strong> Own the long-term architecture and roadmap for the observability platform across all pillars (metrics, logs, traces, and events). Drive adoption across the engineering organization through RFCs, design reviews, and close partnership with stakeholders.</li> <li><strong>Build for Cerebras-Scale:</strong> Design telemetry pipelines that handle high-cardinality, high-frequency data from thousands of Wafer-Scale Engines, large Kubernetes clusters, and the storage and networking fabric connecting them. Solve ingestion and query performance problems that break conventional approaches.</li> <li><strong>Drive Reliability Across the Organization:</strong> Partner with Engineering, SRE, Hardware, and ML Infrastructure teams to define SLOs, build alerting strategies, and create tooling that accelerates root cause analysis and reduces MTTR. Make it easy for any engineer to understand system health and diagnose failures.</li> <li><strong>Bridge Hardware and Software Observability:</strong> Work with engineering teams accross the stack to surface critical hardware health signals into a unified observability layer alongside software metrics.</li> <li><strong>Shape Developer Experience:</strong> Design and implement instrumentat ... (truncated, view full listing at source)