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.
Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.
We are looking for a deeply technical and storage-savvy architect to lead our efforts in defining, selecting, and, where needed, designing storage solutions for our AI and HPC cluster deployments. These deployments range from tightly integrated, in-house systems to complex enterprise-grade solutions that must meet demanding performance and security standards.
This role operates at the intersection of performance engineering, vendor evaluation, and architecture design. You’ll engage with multiple storage vendors to assess their offerings, extract the most relevant capabilities (e.g., latency, throughput, compliance), and map them to the evolving needs of our workloads - training, inference, HPC, or hybrid. A key part of the role is understanding the characteristics of various SW workloads in order to derive and refine their storage requirements.
Vendor Engagement and Evaluation
Internal Storage Pathfinding
Security and Compliance Alignment
Cross-Functional Collaboration
Nice to Have
Why This Role Matters
Storage is a foundational component of our AI/HPC clusters. The right architecture can make the difference between hitting customer goals—or missing them. Whether integrating with cloud providers or crafting custom internal paths, you’ll shape how data flows, scales, and persists across our entire product line.
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:
Read our blog: Five Reasons to Join Cerebras in 2025.
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. 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.
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