Remote Domain Architect: AI Compute & NVIDIA Ecosystem

World-Wide-Technology; United States; Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health and Wellbeing benefits

Profit sharing

401k plan with company matching

Paid time off

Parental leave

Job summary

World Wide Technology is seeking a Domain Architect - AI Compute to lead the design and provisioning of high‑performance GPU compute fleets for enterprise clients. You will bridge architectural design with hands‑on implementation, configuring clusters from the CLI and communicating complex setups to C‑level stakeholders.

You will split time between delivering complex AI infrastructure and providing pre‑sales SME input, with a focus on NVIDIA DGX Pod deployments and scalable compute fabrics.

Qualifications

• 10+ years in HPC, AI, or data center infra engineering.
• 7+ years in a customer-facing architecture role.
• Deep NVIDIA GPU platform knowledge and software stack.
• Strong Linux engineering, kernel tuning, and hardening.
• Automation with Ansible and Python; IaC with Terraform.

Responsibilities

• Lead physical provisioning of GPU platforms and clusters.
• Define schedulers and topology-aware configurations.
• Deploy multi-cluster management and observability tools.
• Lead day‑2 operations and integration with client identity and storage.
• Support pre‑sales; provide LOE estimates and SOE definitions.

Skills

NVIDIA GPU platforms knowledge

Linux systems engineering

Automation / IaC

Customer-facing architecture

CUDA / NCCL

Ansible

Python

Terraform

Education

Bachelor's degree in Computer Science or Engineering

Tools

NVIDIA Base Command Manager

NVIDIA Mission Control

Kubernetes / OpenShift

Job description

World Wide Technology is seeking a Domain Architect - AI Compute to lead the design and provisioning of high‑performance GPU compute fleets for enterprise clients. You will bridge architectural design with hands‑on implementation, configuring clusters from the CLI and communicating complex setups to C‑level stakeholders.

You will split time between delivering complex AI infrastructure and providing pre‑sales SME input, with a focus on NVIDIA DGX Pod deployments and scalable compute fabrics.