Remote Principal Architect - AI Compute & GPU Infra

CloudData.Center; United States; Remote; USD 180,000 - 270,000; Full time

Job summary

CloudData.Center is seeking a senior architect to set the technical direction for AI compute environments, spanning GPU clusters, private AI clouds, and MLOps platforms. The role blends architectural leadership with hands-on design and deployment for client infrastructure.

You will lead GPU cluster designs (H100, B200, GB200), plan high‑performance networking (InfiniBand, 400G/800G Ethernet), and shape architectures for inference serving and AI workloads.

Qualifications

• Deep expertise in AI compute and GPU infrastructure architecture.
• Experience designing GPU clusters and high-performance networking for AI workloads.
• Familiarity with Kubernetes-based platforms and inference serving.

Responsibilities

• Lead designs for GPU compute clusters using systems in the H100, B200, and GB200 classes.
• Plan high-performance AI networking, including InfiniBand and 400G/800G Ethernet fabrics.
• Shape private AI cloud and MLOps platform architectures.
• Design infrastructure for inference serving and related AI workloads.
• Guide deployment choices across compute, networking, and platform layers.

Skills

AI compute architecture

GPU cluster design

High-performance networking

Kubernetes platforms

Inference serving

Tools

InfiniBand networking

400G/800G Ethernet

Job description

CloudData.Center is seeking a senior architect to set the technical direction for AI compute environments, spanning GPU clusters, private AI clouds, and MLOps platforms. The role blends architectural leadership with hands-on design and deployment for client infrastructure.

You will lead GPU cluster designs (H100, B200, GB200), plan high‑performance networking (InfiniBand, 400G/800G Ethernet), and shape architectures for inference serving and AI workloads.