AI Platform Engineer: GPU Infra & MLOps

ICE; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Intercontinental Exchange, Inc. in Atlanta is seeking an AI Platform Engineer to own the GPU infrastructure, containerized workloads, and end-to-end RAG workflows.

You will deploy and maintain GPU clusters, manage NVIDIA drivers, CUDA toolkits, and ML frameworks while building reliable automation for the AI platform. You will collaborate with cross‑functional teams, provide 24/7 support, and mentor staff, driving secure, observable, and scalable AI tooling in a fast‑paced, startup‑minded

Qualifications

• Minimum 3+ years in infrastructure engineering, systems administration, or DevOps.
• Fluent English communication in a global team.
• Strong scripting and automation experience (Python, Ansible, GitOps).

Responsibilities

• Deploy, configure, and maintain GPU clusters and associated infrastructure.
• Design and maintain the AI workflow automation platform (LLM/MCP/Agentic).
• Manage NVIDIA driver versions, CUDA toolkits, and container runtimes.
• Build and maintain container images with ML frameworks (PyTorch, TensorFlow).
• Implement monitoring and observability for GPU infrastructure.
• Provide L2/L3 technical support and incident response.

Skills

Fluent English

Scripting and automation

Team collaboration

Education

Bachelor's degree preferred

Tools

Kubernetes

Linux

CUDA

NVIDIA GPUs

MCPs

Vector databases

GitHub Actions

Job description

Intercontinental Exchange, Inc. in Atlanta is seeking an AI Platform Engineer to own the GPU infrastructure, containerized workloads, and end-to-end RAG workflows.

You will deploy and maintain GPU clusters, manage NVIDIA drivers, CUDA toolkits, and ML frameworks while building reliable automation for the AI platform. You will collaborate with cross‑functional teams, provide 24/7 support, and mentor staff, driving secure, observable, and scalable AI tooling in a fast‑paced, startup‑minded