Hpc / Ai Specialist

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The Italian Institute of Artificial Intelligence (AI4I) is seeking a hands-on HPC / AI Specialist to support and optimize the compute infrastructure powering the AI Foundry and Deployment activities.Si assicuri di leggere l'intera descrizione riportata di seguito e di candidarsi immediatamente se è affidabile/a di soddisfare tutti i requisiti.At AI4I, you will work on a state-of-the-art AI computing environment built with best-in-class technologies acquired over the past year, including next-generation GPU systems such as NVIDIA B200 accelerators and high-performance distributed storage solutions such as VAST. This infrastructure is designed to support AI training, fine-tuning, and inference workloads for both research and industrial deployment.Leonardo hosts the physical hardware infrastructure and delivers agreed infrastructure services in partnership with AI4I. In this role, you will focus on optimizing performance and providing direct technical support to internal users and clients running AI workloads, while contributing to the continuous evolution and improvement of the system design.You will act as a key interface between the machine infrastructure and the teams executing AI workflows, ensuring efficient, stable, and predictable operations.Hybrid work: Flexible arrangements may be negotiatedThe position will remain open until it is filled and multiple candidates may be hired.About The RoleAs HPC / AI Specialist at AI4I, you will operate at the intersection of infrastructure operations and applied AI execution. You will ensure that engineers, researchers, and deployment teams can efficiently run training, fine-tuning, inference, and data-intensive pipelines on shared compute resources.This is a cross-unit role shared 50% with the new Deployment Unit, working closely with both infrastructure and client-facing teams.You Will Work Closely WithAI engineers and ML / GenAI teams running training, fine-tuning, and inference workloadsCloud / DevOps engineers operating the private cloudThe Deployment Unit supporting industrial AI clientsHardware vendors and infrastructure partnersThis role is strongly operational and performance-oriented, with a focus on workload efficiency, system tuning, AI workload optimization, and user support.Key ResponsibilitiesOperate and maintain Linux-based HPC clusters supporting AI training, fine-tuning, and inference workloadsManage GPU and CPU compute environments, including workload scheduling, resource isolation,



and performance tuningSupport distributed and software-defined storage systems used for large-scale datasetsAct as the primary technical interface between infrastructure operations and internal or external users running AI workflowsProvide hands-on technical support for AI workload optimization, including distributed training and parameter-efficient fine-tuning of foundation models on HPC infrastructureSupport foundation model fine-tuning workflows (including parameter-efficient approaches), including configuration of data pipelines, checkpoints, runtime settings, and GPU memory optimization in HPC environmentsOptimize resource utilization and workload performance across multi-tenant environmentsSupport containerized workloads running on shared compute infrastructureMonitor system health, performance, and capacity; troubleshoot user-facing production issuesContribute to the continuous improvement and evolution of system architecture in collaboration with infrastructure teamsSupport internal users and clients with debugging, environment setup, and best practices for scalable AI executionRequired QualificationsSolid background in CPU and GPU architectures and performance characteristicsExperience operating HPC clusters or large-scale compute environmentsHands-on experience with distributed and software-defined storage systems (e.G., VAST or equivalent)Experience with workload managers and job schedulers (e.G., Slurm or equivalent)Experience troubleshooting performance bottlenecks in compute or storage environmentsPractical understanding of AI training and fine-tuning workloads, including GPU memory management, batch sizing strategies, distributed execution constraints, checkpointing, and data pipeline performance in HPC or large-scale compute environmentsScripting and automation skills (Bash, Python,



or equivalent)Experience supporting shared infrastructure with uptime and operational responsibilityAdditional StrengthsExperience supporting AI / ML training workloads in production environmentsExperience with parameter-efficient fine-tuning workflows and runtime optimization in shared HPC environmentsFamiliarity with foundation model adaptation workflows and large-scale training constraintsFamiliarity with containerized execution environmentsExperience operating multi-tenant compute environmentsExperience with monitoring and observability systemsNetworking fundamentals for high-throughput environmentsExperience collaborating with engineering or deployment teams in production settingsKey Performance MetricsCluster availability and operational stabilityGPU and CPU utilization efficiencyWorkload performance and scheduling effectivenessTime required to debug and resolve user issuesTime required to onboard new workloads and usersWhat We OfferA collaborative environment with engineers and researchers working on real industrial AI deploymentsDirect impact: your infrastructure will run daily AI workloads and production systemsAn office at the epicenter of tech: OGR Torino technology hubCompetitive compensation and access to advanced computing infrastructureSalary range: €40,000 – €60,000 gross/year (depending on experience)About UsThe Italian Institute for Artificial Intelligence (AI4I) was founded as a research institute to perform transformative, application-oriented research in Artificial Intelligence, driving innovation and industrial progress. The Institute is designed to engage and empower gifted, entrepreneurial, and ambitious researchers who are committed to generating real-world impact at the intersection of science, technology, and industrial transformation.Competitive salaries, performance-based incentives, access to dedicated high-performance computing resources, state-of-the-art laboratories, and strong industrial collaborations are among the distinctive features that define AI4I. The Institute fosters a dynamic international environment and an ecosystem that supports the creation and growth of innovative startups.AI4I’s mission is to advance scientific research, technology transfer, and, more broadly, Italy’s innovation capacity, promoting positive impact across industry, services, and public administration. To achieve this, the Institute contributes to building a research and innovation infrastructure that leverages AI methods, with a special focus on manufacturing processes and the broader Industry 4.0 value chain. xysqume AI4I also maintains strategic relationships with leading organizations in Italy and abroad, including Competence Centers and European Digital Innovation Hubs (EDIHs), positioning itself as an attractive destination for researchers, companies, and startups seeking collaboration and impact.#J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/80gxpj