Advanced Technology: AI/ML Research Scientist
VerifiedAbout 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. </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><h3><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">About The Team</span></span></strong><span data-ccp-props="{"134245418":true,"134245529":true,"201341983":0,"335559738":281,"335559739":281,"335559740":240}"> </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 </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, </span><span data-ccp-parastyle="Normal (Web)">demonstrate</span><span data-ccp-parastyle="Normal (Web)"> breakthrough performance on</span><span data-ccp-parastyle="Normal (Web)"> </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)"> </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)"> </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="{"134233117":true,"134233118":true,"201341983":0,"335559739":0,"335559740":240}"> </span></p> <h3><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">About The </span><span data-ccp-parastyle="heading 3">Role</span></span></strong><span data-ccp-props="{"134245418":true,"134245529":true,"201341983":0,"335559738":281,"335559739":281,"335559740":240}"> </span></h3> <p><span data-contrast="auto">Most AI research today is shaped by the constraints of existing hardware. This role starts from the other direction: what would you build if the architecture let you rethink the fundamentals? You will design and develop AI models and training methodologies on wafer-scale hardware, working at the level of optimization theory, model architecture, and statistical foundations rather than assembling existing components.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></p> <p><span data-contrast="auto">The ATG sits at the intersection of AI, computational science, and computer architecture, and your work will draw on all three. You will collaborate closely with Cerebras’ ASIC, compiler, kernel, and AI teams as well as external partners at universities and national laboratories.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </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="{"134245418":true,"134245529":true,"201341983":0,"335559738":281,"335559739":281,"335559740":240}"> </span></h3> <ul> <li><span data-contrast="none">Design AI models and training methods from first principles, leveraging architectural properties of wafer-scale hardware that are unavailable on conventional platforms.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></li> <li><span data-contrast="none">Investigate how techniques from computational science—numerical methods, PDE solvers, simulation—can inform and advance AI model design, and explore hybrid workflows that couple simulation and learning.</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></li> <li><span data-contrast="none">Develop a deep understanding of the hardware substrate and use it to guide algorithmic choices: model structure, optimization strategy, memory access patterns, numerical precision.</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></li> <li><span data-contrast="none">Publish findings and present at top-tier venues (NeurIPS, ICML, ICLR, etc.); represent Cerebras in the broader AI/ML research community.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></li> <li><span data-contrast="none">Inform the design of future Cerebras hardware and software by identifying the computational patterns that matter most for next-generation AI workloads.</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </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="{"134245418":true,"134245529":true,"201341983":0,"335559738":281,"335559739":281,"335559740":240}"> </span></h3> <ul> <li><strong><span data-contrast="none">PhD in Machine Lear
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