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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: https://www.covisionmedialab.com/en and on Linkedin: https://www.linkedin.com/showcase/covision-media NVIDIA A.I. Blog article: https://blogs.nvidia.com/blog/covision-adidas-rtx-ai/ Position Overview We'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 Deployment   Design and implement deployment strategies for software and assets to cloud environments and clientsCreate reliable pipelines for delivering and updating various resources to on-premise systems  Manage multi-environment infrastructure (development, staging, production)  Build and maintain CI/CD pipelines for efficient software delivery  Design testing infrastructure to ensure software quality  Improve developer experience through tooling and workflow optimization Compute ML Infrastructure  Manage hardware compute clusters and implement container orchestration systems for development, experimentation, and diverse workloads  Provision, configure, and optimize heterogeneous resources across distributed systems for parallel computing tasks  Build and maintain infrastructure for ML workloads, including training pipelines and data processing  Design and optimize resource allocation systems for efficient AI/ML computation  Qualifications: Bachelor's degree in Computer Science or related technical field  4+ years of experience in infrastructure engineering or DevOps roles  Proficiency in English  Experience with containerization (Docker) and orchestration (e.g. Kubernetes)  Knowledge of infrastructure as code tools (Terraform, Ansible) and CI/CD pipelines  Experience with HPC clusters (GPU+CPU) and job scheduling systems (e.g. Slurm) MLOps experience, including ML pipeline automation and experiment tracking Nice to have: Experience with monitoring solutions (Prometheus, Grafana) Familiarity with cloud services, particularly AWS  Understanding of networking principles and implementation  Familiarity with Hardware infrastructure management (IPMI, server maintenance)  Knowledge of 3D graphics processing or computer vision workflows  Benefits: Competitive salary package including stock-options Lunch voucher for working days We assist with relocationFlexible working hours and work-from-home policy Family-friendly environmentAmazing office space in the Dolomites located at the Durst Group Personal and professional growth opportunities: Take over and own important parts of infrastructure development and help us blitz-scale Learning and Development: Participate in CVML, AI, startup conferences globally You 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 careers@covisionmedia.ai