Allsides is the world’s leading 3D scanning company. We use cutting-edge Computer Vision and Machine Learning technologies to create the highest quality, relightable 3D models of objects and products. Our 3D scanners are used globally by customers such as Meta, adidas, NUREG, Inditex (ZARA, Massimo Dutti, etc.), Gucci, Zalando, and other leading brands, content creation studios, and technology companies to mass produce tens of thousands of 3D assets per year. These 3D assets can be used in videos, advertising, gaming, research, and digital product databases: powering the future of visual content and data-driven innovation.
Our international team is growing rapidly, and we’re looking for new team members who want to contribute and make an impact. As a start-up, we offer an open and flexible supportive work environment with flat hierarchies. Our team is young, dynamic, and diverse, and our start-up culture encourages collaboration, personal growth, and the chance to work with talented people from all over the world.
We’re looking for curious minds and hands-on thinkers who are ready to make a difference.
More info about us and our technology here our website: allsides.tech
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 clients
* Create 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 relocation
* Flexible working hours and work-from-home policy
* Family-friendly environment
* Amazing 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