CS

Advanced Technology: R&D Engineer - AI/ML, HPC

Verified
Cerebras Systems
full-time

About the Role

<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.&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559737&quot;:240,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:279}">&nbsp;</span></p> <p>Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups.&nbsp;<a href="https://openai.com/index/cerebras-partnership/&quot;&gt;OpenAI recently announced a multi-year partnership with Cerebras</a>, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.&nbsp;</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><h3><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">About The Team</span></span></strong><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:281,&quot;335559739&quot;:281,&quot;335559740&quot;:240}">&nbsp;</span></h3> <p>Cerebras builds wafer-scale AI processors—single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. <span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)"><span data-teams="true"><span id="message-body-1775506131882" class="fui-ChatMessage__body r7802u9 ___1be7vh5 f10pi13n ftqa4ok f2hkw1w f8hki3x f1d2448m f1bjia2o ffh67wi f1j6vpng f1pniga2 f987i1v f1ffjurs f15bsgw9 f14e48fq f18yb2kv fd6o370 ffwy5si f3znvyf f57olzd f4stah7 f480a47 fs1por5 fk6fouc figsok6 fkhj508 f19n0e5 f9ijwd5 f14diw67 f1o0qvyv f9ggezi f1xp5gbu f150uoa4 fd9xhir fxugw4r fo7qwa0 fxowb0n f11ghf3q f13aoclr flypziy f10kwr27 fquw1qa fftr39l f13lathq f15hsm81 f2ss68y ffb60jq f8nuap2 f13nk4fk f7jacry fq08z5q fd9af6s fr74w9q fcl9uv6 f13sm7pj f1u6qqly f16wpxbl faim3u9 f6cs3qo fa2w2z3 fd39nx6 f10gn8j9 frcqmxy f1w9ws4k f1ddxkqj fd10euv fvuz61 f1nbc6gw"><span id="content-1775506131882" class="fui-Primitive _11tzqds f1oy3dpc f89hs3r fqtknz5 fyvcxda"></span></span></span>The Advanced Technology Group (ATG) is&nbsp;</span><span data-ccp-parastyle="Normal (Web)">Cerebras</span><span data-ccp-parastyle="Normal (Web)">’ pathfinding organization. We</span></span> <span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">work ahead of product to explore new architectures,&nbsp;</span><span data-ccp-parastyle="Normal (Web)">demonstrate</span><span data-ccp-parastyle="Normal (Web)">&nbsp;breakthrough performance on</span><span data-ccp-parastyle="Normal (Web)">&nbsp;</span><span data-ccp-parastyle="Normal (Web)">scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and</span><span data-ccp-parastyle="Normal (Web)">&nbsp;</span><span data-ccp-parastyle="Normal (Web)">software. Our work regularly appears at top-tier venues (Supercomputing, SIAM, IEEE, and</span><span data-ccp-parastyle="Normal (Web)">&nbsp;</span><span data-ccp-parastyle="Normal (Web)">NeurIPS</span><span data-ccp-parastyle="Normal (Web)">) and directly influences the design of next-generation wafer-scale systems.</span></span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}">&nbsp;</span></p> <h3><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">About The&nbsp;</span><span data-ccp-parastyle="heading 3">Role</span></span></strong><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:281,&quot;335559739&quot;:281,&quot;335559740&quot;:240}">&nbsp;</span></h3> <p><span data-contrast="auto">We are seeking&nbsp;R&amp;D Engineers to&nbsp;join&nbsp;Cerebras'&nbsp;Advanced Technology&nbsp;Group.&nbsp;You will design and implement workloads that&nbsp;establish&nbsp;new performance benchmarks on&nbsp;wafer-scale hardware,&nbsp;leveraging&nbsp;architectural features that no traditional platform offers. The</span>&nbsp;<br><span data-contrast="auto">scope ranges from large-scale scientific simulations to&nbsp;emerging&nbsp;AI/ML models, and the work&nbsp;sits at the intersection of algorithm design, compiler co-optimization, and hardware architecture.&nbsp;You will collaborate closely with Cerebras’ ASIC, compiler, kernel, and AI&nbsp;teams as well as&nbsp;external partners at universities and national laboratories.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:240}">&nbsp;</span></p> <h3><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">What You Will Do</span></span></strong><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:281,&quot;335559739&quot;:281,&quot;335559740&quot;:240}">&nbsp;</span></h3> <ul> <li><span data-contrast="none">Design and implement challenging scientific computing and AI workloads on Cerebras’&nbsp;Wafer-Scale Engine, targeting performance results that advance the state of the art.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:240}">&nbsp;</span></li> <li><span data-contrast="none">Lead algorithm–hardware co-design efforts with internal R&amp;D teams and external&nbsp;research partners, turning architectural capabilities into measurable application-level&nbsp;advantages.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:240}">&nbsp;</span></li> <li><span data-contrast="none">Build analytical performance models that quantify bottlenecks, guide optimization, and&nbsp;inform future chip and compiler design decisions.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:240}">&nbsp;</span></li> <li><span data-contrast="none">Contribute to Cerebras’ multi-year technology roadmap by&nbsp;identifying&nbsp;high-impact&nbsp;workloads, proposing architectural experiments, and&nbsp;validating&nbsp;them on silicon.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:240}">&nbsp;</span></li> <li><span data-contrast="none">Publish findings and present at top-tier conferences and&nbsp;journals;&nbsp;represent&nbsp;Cerebras in&nbsp;the broader HPC and AI research communities.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:240}">&nbsp;</span></li> </ul> <h3><span data-contrast="none"><span data-ccp-parastyle="heading 3">What We Are Looking For</span></span><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:281,&quot;335559739&quot;:281,&quot;335559740&quot;:240}">&nbsp;</span></h3> <ul> <li><strong><span data-contrast="none">PhD in Computer Science, Engineering, Applied Mathema

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