Please note: This is an ICN role being handled by the IC GmbH applicant tracking system.
About Us
At Impossible Cloud Network (ICN) we’re building the world’s largest independent data center network for high-performance, enterprise-grade AI storage and compute. Founded by seasoned entrepreneurs who previously built a billion-euro tech company, we're on a mission to revolutionize the cloud industry. We enable our customers to achieve real data sovereignty as they retain full data control & custody with verifiable enterprise-grade privacy guarantees – all outside hyperscalers.
The Role
Lead the technical vision for GPU/compute infrastructure. By yielding your deep understanding of AI-native workloads, you guide the expansion of our network by helping Hardware Providers select hardware and data centers and help Service Providers navigate which available hardware cluster has the best compute and storage resources for their workload
You will serve as the top technical authority, leading architectural decisions, technology stack choices, and deployment strategy. You will be responsible for translating our market vision into a robust, high-performance, and decentralized system.
What We Are Looking For
We are searching for an exceptional, entrepreneurial technical leader to partner with the executive team and take complete ownership of the project's technical architecture, vision, and execution.
This is a dynamic, high-impact role for a self-starter who is ready to move beyond corporate constraints and drive value by building a foundational, scalable product from Day One. If you are driven by deep technical ownership, impact, and the challenge of building a cutting-edge platform this is your opportunity.
Some of the key skills that will help you in this role include:
- Proven experience with Bare Metal as a Service (BMaaS), including exposure to the GPU as a Service (GPUaaS) concepts market.
Familiarity with infrastructure providers such as Hetzner, OVHcloud, CoreWeave or a NeoCloud is a strong asset.
- Competence in designing, building, and scaling complex, distributed backend systems (Cloud, Web3, or HPC environments).
- Deep understanding of diverse AI workloads (e.g., LLM training, inference, data analytics) and the corresponding compute and data orchestration strategy required for each
- Extensive background in AI/Machine Learning infrastructure, distributed compute, or high-performance computing (HPC).
- Readiness to operate remotely while committing to regular, in-person collaboration sessions in Zug, Hamburg and other European locations.
- Strong analytical and problem-solving abilities, coupled with the adaptability required to thrive in a fast-paced, zero-to-one startup environment.
- Experience with decentralized physical infrastructure networks (DePIN), or managing dynamic compute resource allocation is an advantage but not essential.
