Solutions Architect - Storage

Weights & Biases Weights & Biases · Data AI · Livingston, NJ +2 · Technology - COR

Solutions Architect role focused on storage technologies within high-performance compute (HPC) environments for AI workloads. The role involves customer engagement, solution design, proof of concept development, and providing feedback to product and engineering teams. Requires expertise in cloud computing, distributed systems, and storage solutions, with familiarity with AI/ML hardware like NVIDIA GPUs.

What you'd actually do

  1. Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on storage technologies within high-performance compute (HPC) environments
  2. Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
  3. Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
  4. Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
  5. Act as a virtual member of CoreWeave's Storage product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.

Skills

Required

  • B.S. in Computer Science or a related technical discipline, or equivalent experience
  • 7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on storage solutions
  • Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
  • Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
  • Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies including networking
  • Deep understanding of storage/file system protocols and how to integrate them into infrastructure systems
  • Proven experience describing storage concepts clearly, along with best practices and an understanding of the storage provider landscape

Nice to have

  • Code contributions to open-source inference frameworks
  • Experience with scripting and automation related to storage technologies
  • Experience with building solutions across multi-cloud environments
  • Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

What the JD emphasized

  • focusing on storage technologies within high-performance compute (HPC) environments
  • building distributed systems or HPC/cloud services, with an expertise focused on storage solutions