Infrastructure & DevOps Engineer
Intro
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.covisionmedia.ai and on Linkedin: https://www.linkedin.com/showcase/covision-media
Or alternatively in this NVIDIA A.I. Blog article: https://blogs.nvidia.com/blog/covision-adidas-rtx-ai/
Job description
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.
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
Tasks
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
Requirements
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
We offer:
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
