Solutions Architect - Hpc/ai/ml

Weights & Biases Weights & Biases · Data AI · Bellevue, WA +4 · Technology - COR

Solutions Architect role focused on AI/ML inference workloads on high-performance compute (HPC) infrastructure, primarily using Kubernetes and NVIDIA GPUs. The role involves customer technical contact, solution design, proof of concept, workload optimization, and providing feedback to product teams.

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 AI/ML workloads 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 Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.

Skills

Required

  • Solutions Architect experience
  • Cloud infrastructure expertise
  • AI/ML inference expertise
  • Kubernetes
  • NVIDIA GPUs
  • HPC
  • Customer relationship building
  • Technical communication

Nice to have

  • Open-source inference frameworks contributions
  • Scripting and automation for AI/ML
  • Multi-cloud solutions
  • Client/customer publications on latency, optimization, or model-server architectures

What the JD emphasized

  • AI/ML inference
  • AI/ML workloads
  • Kubernetes
  • NVIDIA GPUs
  • HPC

Other signals

  • AI/ML workloads
  • AI/ML inference
  • Kubernetes
  • NVIDIA GPUs
  • HPC