Remote Domain Architect: AI Compute & NVIDIA Ecosystem

World Wide Technology, Inc.

United States

Remote

USD 110,000 - 150,000

Full time

14 days+

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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.

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