Hpc 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

We are looking for an experienced AI & HPC Infrastructure Engineer to operate, optimise, and continuously evolve high-performance computing infrastructure supporting advanced engineering and scientific workloads.

This is a hands-on infrastructure role for someone with strong Linux and HPC expertise who is comfortable owning production platforms, troubleshooting complex systems, and driving improvements across GPU compute, storage, networking, containers, and platform performance.

What You’ll Do

• 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 different workload types to ensure effective and equitable use of available capacity.
• Manage containerised environments for platform users, including user provisioning, environment maintenance, GPU access, and standards for container usage.
• Administer shared and high-performance storage and support the operation and troubleshooting of high-speed interconnects.
• Lead performance engineering activities, including profiling, benchmarking, bottleneck analysis, and platform optimisation.
• Support the 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 planning and execution of maintenance activities.
• Maintain platform monitoring, alerting, and operational reporting.
• Develop and maintain technical documentation, operational procedures, and platform standards.
• Contribute to security, architecture governance, and compliance activities.

Required Qualifications

• Substantial professional experience in Linux systems engineering / administration at an advanced level.
• Proven experience operating production HPC environments, including cluster administration and large-scale parallel workloads.
• Hands-on experience administering GPU compute infrastructure, particularly NVIDIA-based environments and the associated software stack.
• Practical experience with containerisation in HPC environments, including GPU device access and multi-node workloads.
• Strong troubleshooting and performance-tuning skills across complex compute infrastructure.
• Demonstrated ability to take end-to-end ownership of production infrastructure and act as a senior technical escalation point.
• Strong analytical and problem-solving skills with a production-focused mindset.
• Professional working proficiency in English.

Preferred Qualifications

• Experience supporting engineering simulation, scientific computing, or computational analysis workloadson accelerated infrastructure.
• Experience with HPC scheduling and resource management.
• Experience with monitoring and observability for compute infrastructure.
• Experience with high-performance storage and networking/interconnect technologies.
• Experience in an enterprise, industrial, or regulated environment.
• Experience with platform automation, scripting, or infrastructure tooling.

Ideal Candidate

The ideal candidate is a hands-on infrastructure engineer who combines deep Linux, HPC, and GPU expertise with strong operational ownership.

You are comfortable working close to the hardware and software stack, diagnosing complex performance and reliability issues, and improving infrastructure used by demanding engineering and scientific workloads. You thrive in environments where reliability, performance, and technical depth matter, and you can operate effectively as a senior technical point of reference for the platform.