Nscale

Develops and operates AI data centers

Data Center Solutions Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours

Full-timeIn-person

About the Job

Requirements

Strong experience in data center architecture and large-scale infrastructure.
Deep understanding of networking, including leaf/spine networks and high-performance fabrics.
Familiarity with GPU systems and artificial intelligence and machine learning infrastructure workloads.
Experience with storage systems and distributed infrastructure.
Ability to communicate complex technical concepts clearly to diverse audiences.
Ten or more years of relevant experience.

Responsibilities

Engage directly with customers to understand technical requirements and workloads.
Design full-stack data center solutions, including GPU racks and configurations; network architecture such as leaf/spine, rail design, InfiniBand, Ethernet, and RoCE; storage systems and data pipelines; and control plane and management systems.
Translate customer needs into detailed technical architectures and specifications.
Collaborate with internal engineering teams to ensure feasibility and alignment.
Support deployment planning and ensure performance and reliability targets are met.
Act as a trusted technical advisor to customers.
Engage in future technology familiarization and research.
Use familiarity with artificial intelligence tooling to augment the design process.

Desired Qualifications

Customer-facing experience is strongly preferred.

.About the Role (Job Purpose)

We are looking for a Data Center Solutions Architect to design and deliver end-to-end GPU infrastructure solutions. This role bridges customer requirements with deep technical design across networking, compute, storage, and data center systems.

What You’ll be Doing (Responsibilities)

Engage directly with customers to understand technical requirements and workloads
Design full-stack data center solutions including:

GPU racks and configurations
Network architecture (leaf/spine, rail design, InfiniBand, Ethernet, RoCE)
Storage systems and data pipelines
Control plane and management systems

Translate customer needs into detailed technical architectures and specifications
Collaborate with internal engineering teams to ensure feasibility and alignment
Support deployment planning and ensure performance and reliability targets are met
Act as a trusted technical advisor to customers
Engage in future technology familiarisation and research.
Familiarity with AI tooling to augment design process above

About You (Skills / Qualifications)

Strong experience in data center architecture and large-scale infrastructure
Deep understanding of networking (leaf/spine, high-performance fabrics)
Familiarity with GPU systems and AI/ML infrastructure workloads
Experience with storage systems and distributed infrastructure
Ability to communicate complex technical concepts clearly to diverse audiences
Customer-facing experience strongly preferred
10+ yrs relevant experience

The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.

Salary Range

$160,000—$290,000 USD

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Nscale does not accept unsolicited candidate submissions from recruitment agencies.

Salary Range 160000 - 290000 USD

About the Company

Nscale

Develops and operates AI data centers

Nscale provides end-to-end AI infrastructure by designing, owning, and operating data centers, GPU compute, networking, storage, and managed AI cloud services for enterprises, governments, and AI developers. It offers a full stack from colocated data centers to high-performance GPUs and networking, plus managed cloud services, so customers can run AI workloads efficiently with sovereign European deployments powered by renewables and US campus expansions. Unlike many peers, Nscale combines complete infrastructure ownership with a focus on sovereign, renewable-powered sites and strong capital partnerships to support large-scale, secure AI workloads. Its goal is to become a leading, scalable AI infrastructure provider that enables governments, enterprises, and AI builders to deploy and run AI applications quickly and securely on sovereign data centers with global capacity.

Company size: 1,001-5,000
Company stage: Debt Financing
Total funding: $9.8B
Headquarters: London, United Kingdom
Founded: 2024

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