Principal Architect — AI Cloud & GPU Infrastructure

Role overview

Set technical direction for AI compute environments, from GPU clusters and private AI clouds to the platforms used to train and serve models. The role combines architecture leadership with hands-on design and deployment for client infrastructure.

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.

Requirements - 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.

Benefits and work setup - Full-time, remote role; the listed locations are the United States or India.