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Impossible Cloud
Technical Lead GPU Compute Infrastructure
about 4 hours ago | 10 views | Be the first one to apply

Technical Lead GPU Compute Infrastructure

Full-time
Switzerland, Europe

About the company

Impossible Cloud represents the spirit of innovation and determination. Our cutting-edge cloud solutions help bridging the gap between web3 technology and mainstream B2B cloud use cases. We are eliminating frictions currently slowing web3 mass adoption and deliver key benefits like increased speed and security while optimizing costs. Impossible Cloud was founded by serial entrepreneurs who formerly built multiple unicorns. With our top team of passionate people who have joined Impossible Cloud from several different countries, we are continuously researching and pushing the boundaries of distributed technologies. Impossible Cloud is backed by an all-star team of internationally renowned venture capital companies, and we are part of the Protocol Labs Network.

Job Summary

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).

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