
Nscale is the Hyperscaler engineered for AI, offering high-performance compute optimised for training, fine-tuning, and intensive workloads. From our data centres to software stack, we are vertically…

Nscale is the Hyperscaler engineered for AI, offering high-performance compute optimised for training, fine-tuning, and intensive workloads. From our data centres to software stack, we are vertically…
What they do: European AI hyperscaler providing vertically integrated AI cloud and GPU infrastructure for training, fine-tuning and inference
Scale & funding: Raised ~USD 1.718B across seed, Series A, Series B and a Pre-Series C SAFE
Key partnership: Large Microsoft agreement to deliver ~200,000 NVIDIA GB300 GPUs across Europe and the U.S.
Product focus: Serverless Inference, inference endpoints, fine-tuning workflows and full-stack AI infrastructure
Founded / HQ: Founded 2024; European-headquartered
AI infrastructure and GPU compute for training, fine-tuning and inference; data-center operations and orchestration for large-scale AI workloads.
2024
Technology, Information and Internet
USD 30,000,000
Company-reported seed funding
USD 155,000,000
Participants included Kestrel 0x1, Blue Sky Capital Managers Ltd, and Florence Capital
USD 1,100,000,000
Participants included Blue Owl, Dell, Fidelity, G Squared, Nokia, NVIDIA, Point72, T.Capital and continued support from existing shareholders
USD 433,000,000
Backed by Blue Owl Managed Funds, Dell, NVIDIA, Nokia and other existing/new investors
“Backed by a mix of strategic and financial investors including Aker ASA, Blue Owl, Dell, NVIDIA, Nokia, Sandton Capital Partners, Fidelity and Point72”
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About Nscale Nscale is building high-performance GPU infrastructure purpose-built for AI. We partner with AI-native companies and hyperscalers to deliver scalable, reliable, and performant compute environments for training and inference at scale.
Our customers are pushing the limits of distributed systems. We operate at the intersection of GPUs, high-speed networking, storage architecture, and production AI workloads.
The Role We are hiring a Senior Solutions Architect to work directly with AI customers and hyperscale partners to translate workload requirements into scalable, production-ready infrastructure designs.
You will bridge customer ambitions with Nscale’s capabilities—designing solutions across GPU compute, backend fabric, frontend networking, storage systems, and cluster architecture. This is a highly technical, customer-facing role requiring deep infrastructure knowledge and strong communication skills.
What You’ll Do Customer Technical Discovery
Engage AI-native startups, enterprises, and hyperscalers to understand:
Training vs inference workloads
Model size and scaling strategy
Distributed training topology
Data pipeline and storage patterns
Performance, latency, and reliability requirements
Solution Architecture & Design
Architect end-to-end GPU cluster solutions including:
GPU selection and sizing
Backend networking (InfiniBand / RoCE / Ethernet fabrics)
Hyperscaler & Partner Collaboration
Internal Collaboration
Required What We’re Looking For
Preferred
What Success Looks Like
For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
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Translate business and ML requirements into infrastructure specifications.
Frontend networking and connectivity
Storage (parallel file systems, object storage, NVMe tiers)
Rack density and data center constraints
Produce HLD/LLD documentation and reference architectures.
Validate feasibility within Nscale’s product and operational capabilities.