Hpc Engineer
Pubblicato il 21-09-2026 - Hermes Corporate in Cuneo
pWe are looking for an experienced bAI HPC Infrastructure Engineer /b to operate, optimise, and continuously evolve high-performance computing infrastructure supporting advanced engineering and scientific workloads.
/ppThis 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.
/ppWhat You'll Do /pulliAdminister and maintain GPU compute infrastructure, including system configuration, NVIDIA drivers and software stack, firmware, and hardware health monitoring.
/liliOperate, monitor, and optimise HPC clusters to ensure reliability, performance, and efficient use of compute resources.
/liliDefine and refine resource allocation policies across different workload types to ensure effective and equitable use of available capacity.
/liliManage containerised environments for platform users, including user provisioning, environment maintenance, GPU access, and standards for container usage.
/liliAdminister shared and high-performance storage and support the operation and troubleshooting of high-speed interconnects.
/liliLead performance engineering activities, including profiling, benchmarking, bottleneck analysis, and platform optimisation.
/liliSupport the integration and optimisation of engineering and scientific applications on GPU-accelerated and HPC platforms.
/liliProvide incident response, troubleshooting, root-cause analysis, and change management, including planning and execution of maintenance activities.
/liliMaintain platform monitoring, alerting, and operational reporting.
/liliDevelop and maintain technical documentation, operational procedures, and platform standards.
/liliContribute to security, architecture governance, and compliance activities.
/li /ulpRequired Qualifications /pulliSubstantial professional experience in Linux systems engineering / administration at an advanced level.
/liliProven experience operating production HPC environments, including cluster administration and large-scale parallel workloads.
/liliHands-on experience administering GPU compute infrastructure, particularly NVIDIA-based environments and the associated software stack.
/liliPractical experience with containerisation in HPC environments, including GPU device access and multi-node workloads.
/liliStrong troubleshooting and performance-tuning skills across complex compute infrastructure.
/liliDemonstrated ability to take end-to-end ownership of production infrastructure and act as a senior technical escalation point.
/liliStrong analytical and problem-solving skills with a production-focused mindset.
/liliProfessional working proficiency in English.
/li /ulpPreferred Qualifications /pulliExperience supporting engineering simulation, scientific computing, or computational analysis workloadson accelerated infrastructure.
/liliExperience with HPC scheduling and resource management.
/liliExperience with monitoring and observability for compute infrastructure.
/liliExperience with high-performance storage and networking/interconnect technologies.
/liliExperience in an enterprise, industrial, or regulated environment.
/liliExperience with platform automation, scripting, or infrastructure tooling.
/li /ulpIdeal Candidate /ppThe ideal candidate is a hands-on infrastructure engineer who combines deep Linux, HPC, and GPU expertise with strong operational ownership.
/ppYou 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.
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