# Senior AI Infrastructure & GPU Cluster Architect

- Link: https://accel-dna.com/jobs/senior-ai-infrastructure-gpu-cluster-architect/
- Published: 2026-10-23T10:15:00+00:00
- Author: Umar Mahmud

## Opportunity Overview

**Location:** 100% Remote (United States)
**Employment Type:** Full-Time Direct-
Hire via Accel DNA**Compensation Range:** $190,000 – $230,000 Base + Performance
Bonus**Hiring Agency:** Accel DNA – Premier Frontier Data & AI Talent Partner

Scale, manage, and optimize multi-node NVIDIA H100/A100 GPU clusters powering low-
latency foundation model training and inference pipelines.

## Key Responsibilities:

 * Architect and maintain distributed GPU computing infrastructure across AWS, GCP,
   and specialized bare-metal GPU clouds.
 * Configure InfiniBand/RoCE networking, CUDA driver stacks, and Kubernetes GPU 
   operator daemonsets.
 * Optimize cluster utilization, spot instance recovery strategies, and distributed
   storage IOPS for large-scale training runs.
 * Establish automated cost monitoring and GPU allocation policies across machine
   learning research squads.

## What You Bring:

 * 6+ years of systems engineering or DevOps experience, with 2+ years dedicated
   to high-performance GPU cluster management.
 * Deep mastery of Kubernetes, Terraform, NVIDIA Slurm / Run:ai, and Linux kernel
   networking.
 * Experience supporting distributed training frameworks such as Megatron-LM and
   DeepSpeed.
 * Strong track record reducing GPU idle time and cloud infrastructure expenditure.

## How to Apply:

Interested in exploring this opportunity? Submit your profile or portfolio directly
to [contact@accel-dna.com](https://accel-dna.com/jobs/senior-ai-infrastructure-gpu-cluster-architect/contact@accel-dna.com)
or apply through [https://accel-dna.com/contact-us/](https://accel-dna.com/contact-us/).