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Technical Lead - GPU/Compute Infrastructure(m/w/x)
Description
In this role, you will take charge of the technical vision for GPU and compute infrastructure, collaborating closely with the executive team to shape architectural decisions and deployment strategies while guiding hardware and service providers in optimizing their resources.
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Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Proven experience with Bare Metal as a Service (BMaaS) and GPU as a Service (GPUaaS) concepts
- •Familiarity with infrastructure providers such as Hetzner, OVHcloud, CoreWeave, or NeoCloud
- •Competence in designing, building, and scaling complex distributed backend systems
- •Deep understanding of diverse AI workloads and corresponding compute and data orchestration strategies
- •Extensive background in AI/Machine Learning infrastructure, distributed compute, or high-performance computing
- •Readiness to operate remotely with regular in-person collaboration sessions in Zug, Hamburg, and other European locations
- •Strong analytical and problem-solving abilities and adaptability in a fast-paced startup environment
- •Experience with decentralized physical infrastructure networks (DePIN) or managing dynamic compute resource allocation
Work Experience
approx. 4 - 6 years
Tasks
- •Lead the technical vision for GPU and compute infrastructure
- •Make architectural decisions and choose technology stacks
- •Develop deployment strategies for projects
- •Collaborate with the executive team on technical architecture
- •Guide hardware providers in selecting appropriate hardware and data centers
- •Assist service providers in identifying optimal hardware clusters for workloads
- •Translate market vision into a high-performance decentralized system
Tools & Technologies
Languages
English – Business Fluent
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Technical Lead - GPU/Compute Infrastructure(m/w/x)
The AI Job Search Engine
Description
In this role, you will take charge of the technical vision for GPU and compute infrastructure, collaborating closely with the executive team to shape architectural decisions and deployment strategies while guiding hardware and service providers in optimizing their resources.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Proven experience with Bare Metal as a Service (BMaaS) and GPU as a Service (GPUaaS) concepts
- •Familiarity with infrastructure providers such as Hetzner, OVHcloud, CoreWeave, or NeoCloud
- •Competence in designing, building, and scaling complex distributed backend systems
- •Deep understanding of diverse AI workloads and corresponding compute and data orchestration strategies
- •Extensive background in AI/Machine Learning infrastructure, distributed compute, or high-performance computing
- •Readiness to operate remotely with regular in-person collaboration sessions in Zug, Hamburg, and other European locations
- •Strong analytical and problem-solving abilities and adaptability in a fast-paced startup environment
- •Experience with decentralized physical infrastructure networks (DePIN) or managing dynamic compute resource allocation
Work Experience
approx. 4 - 6 years
Tasks
- •Lead the technical vision for GPU and compute infrastructure
- •Make architectural decisions and choose technology stacks
- •Develop deployment strategies for projects
- •Collaborate with the executive team on technical architecture
- •Guide hardware providers in selecting appropriate hardware and data centers
- •Assist service providers in identifying optimal hardware clusters for workloads
- •Translate market vision into a high-performance decentralized system
Tools & Technologies
Languages
English – Business Fluent
About the Company
Impossible Cloud Network (ICN)
Industry
IT
Description
The company is pioneering an enterprise-grade decentralized open cloud platform for hardware and service providers, as well as developers.
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