AI GPU Infra & Operations Engineer

KYLG AB; Sollentuna kommun; On-site; SEK 700,000 - 950,000; Full time

Benefits offered by this job

Competitive salary

Flexible working environment

Opportunity to work with cutting-edge

Job summary

KYLG AB in Sweden seeks an Infrastructure & Operations Engineer to design, deploy, and maintain AI server and GPU infrastructure, including NVIDIA GPU clusters, CUDA, Docker, and Kubernetes in a data center environment.

You will install, rack, cable, commission, and manage AI computing environments, deploy and optimize model training and inference workloads, and monitor system performance, power, cooling, and hardware health while supporting AI researchers and software engineers.

Qualifications

• Strong Linux system administration required.
• Experience deploying and maintaining NVIDIA GPU servers.
• Experience with data center infrastructure, including power distribution, rack installation, cabling, cooling, and hardware commissioning.
• Experience with Docker, Kubernetes, and the AI software stack.
• Experience with Python and AI frameworks (PyTorch/TensorFlow).
• Familiar with LLM deployment and enterprise networking.

Responsibilities

• Design, deploy, and maintain AI server and GPU infrastructure.
• Install, rack, cable, commission, and maintain AI servers in data center environments.
• Plan and execute AI infrastructure expansion, upgrades, and hardware lifecycle management.
• Deploy and manage Linux servers.
• Install, configure, and maintain NVIDIA CUDA, Docker, Kubernetes, and the AI software stack.
• Deploy and optimize AI model training and inference environments.
• Build and maintain AI agent platforms.
• Develop AI workflows and automation pipelines.
• Maintain AI computing clusters and GPU infrastructure.
• Monitor system performance and optimize GPU utilization.
• Monitor power distribution, cooling systems, and hardware health.
• Troubleshoot AI server hardware, GPU, networking, storage, OS and software issues.
• Support AI researchers and software engineers.

Skills

Linux administration

AI hardware deployment

Data center infra

NVIDIA GPU servers

Docker

Kubernetes

Python

CUDA

PyTorch

TensorFlow

Git

Networking

Tools

Docker

Kubernetes

CUDA toolkit

NVIDIA DGX

Git

Job description

KYLG AB in Sweden seeks an Infrastructure & Operations Engineer to design, deploy, and maintain AI server and GPU infrastructure, including NVIDIA GPU clusters, CUDA, Docker, and Kubernetes in a data center environment.

You will install, rack, cable, commission, and manage AI computing environments, deploy and optimize model training and inference workloads, and monitor system performance, power, cooling, and hardware health while supporting AI researchers and software engineers.