Cloud Engineer

Senior Server Administrator – AI Engineering Team Onsite Requirement: 1 day/week initially, transitioning to 5 days/week About the Role We are seeking a highly skilled Senior Server Administrator to join our AI Engineering team. This role is pivotal in deploying, maintaining, and optimizing high-performance computing infrastructure leveraging NVIDIA GPU technologies. You will collaborate with AI researchers, data scientists, and software engineers to ensure our systems are robust, scalable, and tuned for cutting-edge machine learning workloads. What You’ll Do • Administer and maintain GPU-accelerated servers and clusters (NVIDIA A100, H100, etc.). • Manage and optimize NVIDIA software stack (CUDA, cuDNN, TensorRT, NCCL, NGC containers). • Monitor system performance, troubleshoot issues, and ensure high availability. • Collaborate with DevOps and AI teams to support containerized workflows (Docker, Kubernetes). • Implement security best practices and compliance standards. • Lead upgrades, patching, and lifecycle management of GPU servers. • Provide documentation, automation scripts, and training for internal teams. Why This Opportunity Stands Out • Work on cutting-edge AI infrastructure projects. • Collaborate with top-tier engineers and researchers. • Gain hands-on experience with advanced GPU technologies and scalable systems. What We’re Looking For • Education: Bachelor’s Degree + 8 years of experience (5+ years in server administration, 3+ years with NVIDIA GPU systems). • Technical Skills:Linux system administration in HPC/AI environments. • NVIDIA GPU drivers, CUDA toolkit, performance tuning. • Slurm, Kubernetes, orchestration tools. • Monitoring tools (Prometheus, Grafana), automation (Ansible, Terraform). • Strong scripting (Bash, Python). Preferred:NVIDIA Certified Professional. • Multi-GPU/multi-node training experience. • Familiarity with AI/ML frameworks (PyTorch, TensorFlow). • Exposure to cloud GPU infrastructure (AWS, Azure, GCP).