Senior HPC & AI Infrastructure Engineer

Hermes Corporate; Cuneo; In loco; EUR 70.000 - 110.000; Tempo pieno

Descrizione del lavoro

Hermes Corporate is seeking an experienced AI & HPC Infrastructure Engineer to operate, optimise, and evolve GPU-accelerated computing platforms that support engineering and scientific workloads.

The role demands hands-on Linux and HPC proficiency, ownership of production platforms, and strong problem-solving skills to drive performance and reliability across GPU compute, storage, networking, containers, and platform performance.

Competenze

• Advanced Linux systems engineering experience.
• Production HPC environment operation experience.
• Hands-on GPU compute infrastructure administration (NVIDIA stack).

Mansioni

• Administer and maintain GPU compute infrastructure, including system configuration, NVIDIA drivers and software stack, firmware, and hardware health monitoring.
• Operate, monitor, and optimise HPC clusters to ensure reliability, performance, and efficient use of compute resources.
• Define and refine resource allocation policies across workload types for effective and equitable capacity use.
• Manage containerised environments for platform users, including user provisioning, environment maintenance, GPU access, and container usage standards.
• Administer shared and high-performance storage and support troubleshooting of high-speed interconnects.
• Lead performance engineering activities, including profiling, benchmarking, bottleneck analysis, and platform optimisation.
• Support integration and optimisation of engineering and scientific applications on GPU-accelerated and HPC platforms.
• Provide incident response, troubleshooting, root-cause analysis, and change management, including maintenance planning and execution.
• Maintain platform monitoring, alerting, and operational reporting.
• Develop and maintain technical documentation, procedures, and platform standards.
• Contribute to security, architecture governance, and compliance activities.

Conoscenze

Linux systems engineering

Production HPC ownership

Troubleshooting and performance tuning

Analytical and problem-solving

English proficiency

Strumenti

NVIDIA GPU software stack

Containerisation (GPU)

GPU device access

Cluster administration tools

Descrizione del lavoro

Hermes Corporate is seeking an experienced AI & HPC Infrastructure Engineer to operate, optimise, and evolve GPU-accelerated computing platforms that support engineering and scientific workloads.

The role demands hands-on Linux and HPC proficiency, ownership of production platforms, and strong problem-solving skills to drive performance and reliability across GPU compute, storage, networking, containers, and platform performance.