Covision Media is the leading 3D scanning company in the world. We leverage state-of-the-art in Computer Vision and Machine Learning to scan highest quality, relightable 3D models of objects and products at scale.Our 3D scanners are used globally by customers such as Meta, adidas, NUREG, Inditex (ZARA, Massimo Dutti, etc.), Gucci, Salomon, Quad, and other leading brands, content creation studios, and technology companies to mass produce tens of thousands of 3D assets per year.Our international team of engineers is continuously looking to complement the team with the best talents that want to push the company to the next level. If you are results-driven, brilliant and want to join an ambitious company at an early stage, then this is for you.More info about us and our technology here our website: and on Linkedin:NVIDIA A.I. Blog article: Position OverviewWe're looking for an experienced Infrastructure Engineer to improve and scale our technical infrastructure for deployment, training pipelines, resource management, and workflow orchestration. You'll support our development and ML teams across cloud and on-premise environments. If you have experience in several of these areas and are excited about growing in others, we encourage you to apply.Main Responsibilities: >DevOps & DeploymentDesign and implement deployment strategies for software and assets to cloud environments and clientsCreate reliable pipelines for delivering and updating various resources to on-premise systemsManage multi-environment infrastructure (development, staging, production)Build and maintain CI/CD pipelines for efficient software deliveryDesign testing infrastructure to ensure software qualityImprove developer experience through tooling and workflow optimization>Compute & ML InfrastructureManage hardware compute clusters and implement container orchestration systems for development, experimentation, and diverse workloadsProvision, configure, and optimize heterogeneous resources across distributed systems for parallel computing tasksBuild and maintain infrastructure for ML workloads, including training pipelines and data processingDesign and optimize resource allocation systems for efficient AI/ML computationQualifications: Bachelor's degree in Computer Science or related technical field4+ years of experience in infrastructure engineering or DevOps rolesProficiency in EnglishExperience with containerization (Docker) and orchestration (e.g. Kubernetes)Knowledge of infrastructure as code tools (Terraform, Ansible) and CI/CD pipelinesExperience with HPC clusters (GPU+CPU) and job scheduling systems (e.g. Slurm)MLOps experience, including ML pipeline automation and experiment trackingNice to have: Experience with monitoring solutions (Prometheus, Grafana)Familiarity with cloud services, particularly AWSUnderstanding of networking principles and implementationFamiliarity with Hardware infrastructure management (IPMI, server maintenance)Knowledge of 3D graphics processing or computer vision workflowsBenefits: Competitive salary package including stock-optionsLunch voucher for working daysWe assist with relocationFlexible working hours and work-from-home policyFamily-friendly environmentAmazing office space in the Dolomites located at the Durst GroupPersonal and professional growth opportunities: Take over and own important parts of infrastructure development and help us blitz-scaleLearning and Development: Participate in CVML, AI, startup conferences globallyYou don't have to tick every box to apply — your drive and passion matter most! This is a FULL-TIME role located on-site at our Bressanone/Dolomites offices (South Tyrol region, Italy). If you are interested, please send an email with your resume to