Nscaleoperationsukltd
Principal Solutions Architect
Salary not disclosed10+ yearsOnsite
- Engineering
- Full time
- Yesterday
About the role
Nscale is seeking a Principal Solutions Architect to design and deliver end-to-end GPU infrastructure solutions for demanding AI workloads. This customer-facing role involves translating complex requirements into scalable, high-performance designs spanning GPU compute, networking, storage, and orchestration. You will act as a trusted technical advisor, collaborating with internal teams to ensure solutions meet performance, reliability, and scalability standards.
Responsibilities
- Design end-to-end GPU infrastructure solutions tailored to customer requirements and AI workloads.
- Architect GPU cluster configurations, including rack layouts, power and cooling, and NVLink/NVSwitch domains.
- Design high-performance network architectures, including leaf/spine, InfiniBand, Ethernet, RoCE, and GPUDirect RDMA.
- Define storage architectures and data pipelines supporting large-scale AI training and inference.
- Engage directly with customers to understand technical requirements and guide infrastructure design decisions.
- Lead performance benchmarking and infrastructure validation plans for GPU clusters.
- Leverage AI tooling and Infrastructure-as-Code to automate and accelerate design and deployment workflows.
Required skills
- GPU infrastructure
- Solution architecture
- HPC
- Networking
- InfiniBand
- RoCE
- Kubernetes
- Slurm
- NCCL
- Python
- Go
- Terraform
- Ansible
- AI infrastructure
Nice to have
- Pre-sales engineering
- Hyperscale cloud
- Lustre
- GPFS
- WEKA
- BeeGFS
- PyTorch
- DeepSpeed
Qualifications
- 10+ years of relevant experience in solution architecture, infrastructure engineering, high-performance computing, or large-scale data centre environments
Benefits
- Competitive salary
- Equity
- Flexible workplace
About the Company
Nscale is a GPU cloud engineered for AI, providing cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. The company focuses on reducing the complexity of AI development to support strategic business outcomes like rapid innovation and environmental responsibility.