Die KI-Suchmaschine für Jobs
Technical Lead - GPU/Compute Infrastructure(m/w/x)
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Berufserfahrung
ca. 4 - 6 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
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Technical Lead - GPU/Compute Infrastructure(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Berufserfahrung
ca. 4 - 6 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
Über das Unternehmen
Impossible Cloud Network (ICN)
Branche
IT
Beschreibung
The company is pioneering an enterprise-grade decentralized open cloud platform for hardware and service providers, as well as developers.
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