Job Opportunities API

For over a decade now, OpenNebula Systems has been building the open source technology that helps organizations around the world to manage their corporate data centers and build Enterprise Clouds with unique, innovative features. Born back in the day as an open source platform for Private Clouds, OpenNebula is a powerful, but easy-to-use, open source Cloud & Edge Computing Platform whose community includes nowadays leading companies and public agencies in a wide range of industry niches and countries. If you want to join an established leader in the cloud infrastructure industry and the global open source community, keep reading, because you can now join exceptionally passionate, talented colleagues, and help world´s leading enterprises implement their next-generation edge and cloud strategies. We are hiring! Come join us in our distributed, fully-remote, international team, where we promote Creativity, Innovation, Collaboration, Open Communication and Iterative Work, and we´re seeking a AI Engineer to work in the development of the OpenNebula open-source cloud management platform and its new strategic project in AI. Since 2019, and thanks to the support from the European Commission, OpenNebula Systems is leading the edge computing innovation in Europe, investing heavily in research and development, and playing a key role in the key strategic initiatives of the European Union. https://opennebula.io/innovation/ Job Description We are seeking an AI Platform Engineer to contribute to the design, implementation, and deployment of advanced AI capabilities within OneAI, our platform for operating high-performance inference and training workloads across diverse cloud and edge environments leveraging OpenNebula. In this role, you will be responsible for integrating cutting-edge AI frameworks, tools and engines (such as vLLM, PyTorch and Unsloth) into a secure, scalable, and highly observable AI platform that can provision compute, schedule workloads, and expose reliable APIs for the entire AI model lifecycle, serving and fine-tuning process. Beyond the backend infrastructure, you will help shape the OneAI user experience by designing intuitive workflows for managing models, configuring deployments, and operating inference and training jobs. A key focus will be integrating with public model repositories like Hugging Face to streamline model and dataset discovery, import, versioning, and deployment directly into OpenNebula cloud deployments. Working at the intersection of applied AI, systems engineering and product design, you will ensure that inference and training are efficient at scale. Key focus areas include establishing deployment strategies, optimizing performance and cost efficiency, implementing GPU-aware operations, and building comprehensive observability tools to track latency, throughput, utilization, and failure rates. As we are an international team, please submit your CV in English. Core Responsibilities Design, implement, and deploy advanced AI capabilities within the OneAI platform. Shape the end-user experience by designing intuitive workflows for model management, deployment configuration, and job operation. Streamline the model lifecycle by integrating public repositories (e.g., Hugging Face) for seamless discovery, import, versioning, and deployment. Bridge the gap between systems engineering and product design to ensure a seamless transition from backend infrastructure to user features. AI Platform & Systems Engineering Integrate cutting-edge AI frameworks and engines, such as vLLM, NVIDIA Dynamo and Unsloth, into a secure and scalable environment. Leverage OpenNebula to orchestrate high-performance inference and training workloads across diverse cloud and edge environments. Develop and maintain reliable APIs for compute provisioning and workload scheduling. Implement GPU-aware operations to ensure optimal resource allocati