Linux System Administrator

About the role

We are looking for a Linux System Administrator to support the Linux environment behind large-scale GPU infrastructure used for AI training and inference workloads.

This is a hands-on role focused on the deployment, maintenance, performance tuning, and reliability of Linux-based GPU servers. You will work closely with infrastructure and platform teams to keep the environment stable, secure, and ready for demanding production workloads.

Responsibilities

• Install, configure, patch, and maintain Linux operating systems across GPU-based server environments

• Manage and support the NVIDIA GPU software stack, including drivers, CUDA, cuDNN, NCCL, DCGM, and MIG/time-slicing configurations

• Perform system performance tuning, kernel optimization, storage configuration, and networking setup for AI/HPC workloads

• Develop and maintain automation scripts and operational tooling using Python, Bash, or similar technologies

• Monitor system health, investigate alerts, and troubleshoot issues across hardware, drivers, operating systems, and cluster services

• Support bare-metal provisioning and integration with orchestration platforms such as Slurm or Kubernetes

• Work closely with Site Operations, DevOps/SRE, and AI/ML teams to support stable GPU cluster operations and infrastructure growth

• Participate in on-call support, incident response, root cause analysis, and post-incident improvement activities

• Support security hardening, patch compliance, vulnerability management, and operational standards across the server fleet

Requirements

• 4–8 years of hands-on experience in Linux system administration in production environments

• Good knowledge of enterprise Linux environments, such as Ubuntu, Debian, Red Hat Enterprise Linux, or Rocky Linux

• Experience with Linux administration at scale

• Practical experience with configuration management, scripting, and infrastructure automation

• Good scripting skills in Python and/or Bash

• Good understanding of performance tuning, storage systems, and high-speed networking technologies such as RDMA, InfiniBand, or RoCE

• Experience working with NVIDIA GPUs in Linux environments, including drivers, CUDA components, and GPU monitoring tools, will be a strong advantage

• Ability to troubleshoot complex technical issues in production environments

• English proficiency at least at a communicative level is required, as you will be working in an international team

Nice to have

• Experience in AI/ML, HPC, or large-scale data center environments

• Experience with bare-metal provisioning and fleet management

• Familiarity with Slurm, Kubernetes, or similar orchestration tools

• Knowledge of observability tools such as Prometheus and Grafana

• Familiarity with DCIM platforms

• Higher education in Computer Science, Engineering, or a related field

What we offer

• Benefits package

• Opportunity to work on Linux infrastructure supporting advanced AI workloads

• Exposure to modern GPU hardware and high-performance computing technologies

• Collaboration with experienced engineers across infrastructure, platform, and AI teams

• A dynamic environment with room for ownership, learning, and professional growth