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Storage Architect

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Cerebras Systems

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Location:
United States; Canada , Sunnyvale

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Contract Type:
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Salary:

Not provided

Job Description:

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.

Job Responsibility:

  • Act as the technical lead in evaluating third-party storage solutions, analyzing vendor roadmaps, performance metrics, security/compliance features, and cost models.
  • Ensure storage solutions align with workload-specific requirements, including throughput, inference latency, encryption, and cloud-related controls.
  • Benchmark and characterize storage solutions from multiple angles—bandwidth, latency, IOPS, scaling behavior, and integration friction.
  • Drive the development of both lightweight internal storage configurations and more unconventional in-house storage solutions for targeted use cases, working directly with a small team of SW engineers.
  • Maintain deep expertise in low-level storage hardware - including media types (e.g., NVMe, SCM), device-level capabilities, and transport-layer technologies (e.g., NVMe-oF) - while tracking vendor roadmaps and emerging trends. Identify components that align with performance targets and map them to workload characteristics.
  • Collaborate across architecture and platform teams to ensure that storage designs meet security and compliance expectations for hyperscaler and enterprise environments.
  • Stay current on evolving customer expectations and align storage choices accordingly.
  • Interface with hardware, software, and deployment teams to validate that selected storage solutions integrate cleanly with system architecture and support operational goals.
  • Track and document storage variations across cluster generations and customer-specific deployments.

Requirements:

  • 7+ years of experience in storage architecture, preferably in data-intensive environments such as AI/ML, HPC, or cloud-scale systems.
  • Deep understanding of file systems, including performance and scalability trade-offs, shared namespaces, and interfaces such as NFS, POSIX, and object-based ones like S3.
  • Strong understanding of modern storage technologies and protocols: NVMe, SCM, RAID, tiering, encryption, and distributed file systems.
  • Experience evaluating enterprise and cloud storage solutions against workload-driven performance and compliance targets.
  • Familiarity with system-level trade-offs involving IOPS, bandwidth, latency, durability, and cost.
  • Excellent communication skills and the ability to distill complex storage trade-offs into clear recommendations.

Nice to have:

  • Experience designing or deploying internal storage stacks for focused or non-traditional use cases.
  • Understanding of storage needs in containerized, multi-tenant, or hybrid environments.
  • Familiarity with benchmarking tools and methodologies for profiling storage behavior across diverse scenarios.
What we offer:
  • Build a breakthrough AI platform beyond the constraints of the GPU.
  • Publish and open source their cutting-edge AI research.
  • Work on one of the fastest AI supercomputers in the world.
  • Enjoy job stability with startup vitality.
  • Our simple, non-corporate work culture that respects individual beliefs.

Additional Information:

Job Posted:
February 17, 2026

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