Remote AI Infrastructure Engineer: GPU Clusters & MLOps

Bonfirevc; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Stock options

Health/dental/vision insurance

401(k)

Home office stipend

Job summary

Bonfirevc is seeking an AI Infrastructure Engineer to design, deploy, and manage GPU infrastructure for AI and machine learning workloads. This remote position focuses on building scalable compute infrastructure across cloud and on-premise environments.

The ideal candidate will have 3-5 years of experience and strong skills in NVIDIA GPUs, Linux administration, and orchestration tools like Kubernetes. Competitive salary and benefits package offered.

Qualifications

• 3-5 years of experience in infrastructure engineering, DevOps, or systems administration.
• Hands-on experience with NVIDIA GPUs, CUDA, and container runtimes.
• Strong Linux systems administration skills.

Responsibilities

• Design and deploy GPU clusters for AI workloads.
• Configure and optimize NVIDIA drivers and ML frameworks.
• Collaborate with ML engineers to optimize performance.

Skills

NVIDIA GPUs

CUDA

Linux systems administration

Kubernetes

Python

Bash

Networking fundamentals

Tools

Docker

AWS

GCP

Azure

Terraform

Job description

Bonfirevc is seeking an AI Infrastructure Engineer to design, deploy, and manage GPU infrastructure for AI and machine learning workloads. This remote position focuses on building scalable compute infrastructure across cloud and on-premise environments.

The ideal candidate will have 3-5 years of experience and strong skills in NVIDIA GPUs, Linux administration, and orchestration tools like Kubernetes. Competitive salary and benefits package offered.